Data Analysis Jobs

Title: Civil Engineer Needed for BOQ from PDF Drawing Description: I am looking for an experienced Civil Engineer or Quantity Surveyor who can prepare a complete BOQ (Bill of Quantity) from a construction drawing PDF. Scope of work: - Quantity takeoff from drawing - Earthwork / Excavation - PCC and RCC calculation - RCC in footing, column, beam, and slab - Reinforcement steel quantity - BOQ preparation in Excel format Requirements: - Good knowledge of construction drawings - Experience in BOQ and quantity takeoff - Ability to deliver accurate calculations The drawing PDF will be shared after hiring. Please send your proposal with your experience in BOQ preparation..

I'm conducting a research project focused on medication management within the realm of pharmacy practice, specifically targeting chronic disease patients. The aim is to determine whether a patient compliance application called Med-Eze significantly increased medication adherence and to determine it's effect on reducing operational and economic burden on the NHS. Ideal Skills and Experience: - Background in pharmacy, particularly in pharmacy practice - Strong research and analytical skills - Experience with chronic disease management - Familiarity with medication management protocols and patient care models - Ability to synthesize data and present findings comprehensively I am looking for a detail-oriented researcher who can contribute valuable insights into this critical are...

We are looking for a detail-oriented Freelance Research Assistant to help build and maintain a structured database of business information sourced from Google Maps. This role focuses on data collection, organisation, and verification, along with communication and collaboration with a small team. If you are comfortable working with spreadsheets and online research, this can become a long-term opportunity. Role Overview Your main responsibility will be to extract business information from Google Maps and organise it into a clean, structured spreadsheet used for market research. Accuracy, organisation, and consistency are extremely important. This is not just copy-paste work. Every entry must be checked, placed in the correct column, and verified for accuracy. Daily Responsibilities •...

I am building a nationwide master list of every school, college, and kindergarten operating in India and I need verifiable contact information for each one. The dataset must span every state and union territory—no region is excluded—so that the final file can serve as a single reference point for outreach and analytics. For every institution you capture, I need three data points: • an active, regularly-monitored email ID • the main telephone or mobile number • the current physical address (street, city, state, PIN) Please organise the results in a clean spreadsheet (Excel or Google Sheet) with clearly labelled columns for Institution Name, Type (School / College / Kindergarten), Email, Phone, and Address. I will cross-check a sample of records for accuracy ...

I am looking for a professional academic writer to help me complete a comprehensive university report on Location Intelligence (LI). The report should be between 1,500 and 2,500 words and must maintain a high academic standard. The report needs to cover the following key areas: Conceptual Framework: A clear explanation and comparison between Spatial Analysis and Location Intelligence, highlighting how LI integrates business data with geographic context. Case Study: A detailed analysis focused on Urban Planning. This should demonstrate how location intelligence is used to solve modern urban challenges (e.g., resource allocation, infrastructure development, or smart city initiatives). Spatial Techniques: In-depth discussion of specific techniques, including Spatial Autocorrelation and He...

I have a steady stream of healthcare-related forms that must be transcribed quickly and with absolute accuracy into our online system. Most files arrive as scanned PDFs; I will share them through Google Drive. Your task is simply to transfer every field into the corresponding web form, double-checking spelling, dates, and numeric values before submission. A medical background is not required, but an eye for detail is essential because patient names, prescription codes, and insurance numbers cannot contain typos. If you already work confidently with typical data-entry tools—Chrome autofill blockers, basic Excel for cross-checking totals, or any preferred keystroke-automation software—feel free to use them as long as the final entries match the source documents exactly. I w...

I need a reliable partner in Bogotá who can complete an employment-history background check for a candidate we plan to hire. The task is straightforward: confirm the person’s previous roles, dates of employment, job titles and, where possible, the reason for leaving. You should be comfortable reaching out to local HR departments or direct supervisors by phone or email, gathering documentary proof, and compiling everything into a concise report written in Spanish or English. Deliverables • A signed report summarising each verified position, contact details of the source, confirmation of dates/title, and any discrepancies found • Copies or screenshots of supporting evidence (e-mails, letters, call logs) attached as an appendix • One-page executive summary h...

I need a Meta ads specialist who can take full ownership of our Facebook and Instagram campaigns with one clear goal: deliver a consistent flow of high-quality B2C leads every single day. I’ll rely on you to build the campaigns from scratch, handle the creative and audience setup, and then stay on top of ongoing optimisation so cost per lead keeps trending down while volume stays on target. Here’s how I picture the workflow: • Campaign build-out: craft copy, choose imagery/video, configure the pixel, set up any required events, and launch for both Facebook and Instagram under one cohesive strategy. • Daily optimisation: split-test audiences, placements, creatives, and bidding to hit the exact lead count we agree on. • Transparent reporting: share a concise ...

Hi, I am a PhD student currently completing my dissertation research, and I would be genuinely grateful for your participation. Key Details: The whole session takes about ~25 minutes. You'll receive a fixed payment of $10 on completion, with a chance to get an additional performance-based bonus from the task. ALL participants who finish the survey and pass the quality checks will be awarded the contest — payment is issued as a contest award directly through Freelancer. I can only pay $10 per survey. As an extra thank-you, you can opt into a lottery for AI-related gift cards or cash. Survey link: After completing the survey, you will see a survey code. Please paste that code here, and that will count as your entry. We are looking to hire a large number of participants, so ...

I have a batch of printed invoices and receipts that must be turned into clean, well-structured rows inside an existing Google Sheets file. I will provide high-resolution scans of each document; you will read them carefully and enter every detail exactly as it appears. The sheet already has columns for date, supplier, invoice/receipt number, subtotal, tax, total, and a short description. Simply follow that layout, double-checking figures so nothing is transposed or omitted. Consistency matters more than speed, so take the time you need to verify each entry—especially currency symbols, decimal points, and tax percentages. Deliverables • Updated Google Sheet populated with every invoice/receipt • Spot-check notes highlighting any illegible or missing information I&rsqu...

I need all mixed data—numbers and text—lifted accurately from a PDF and placed into Google Sheets. Once the transfer is complete, I expect advanced formatting: formulas where they add value and conditional formatting set up to highlight any duplicate entries automatically. Deliverables: • A Google Sheet populated with every record from the PDF, checked for integrity • Conditional-formatting rule that flags duplicates clearly • Any supporting formulas documented in-cell or with a brief note so I can tweak them later Attention to detail is critical; the sheet should be ready for immediate analysis the moment you hand it back.

I need a reliable partner to complete pre-employment vetting for a candidate based in Silsden, United Kingdom. The scope is clear: • Reference check – contact and document feedback from previous employers (I’ll confirm how many once the process is underway). • Credential verification – authenticate all stated professional licences and any certificates or training courses the candidate lists. You will gather evidence directly from the original sources, compile a concise report, and flag any discrepancies. Please outline your typical turnaround time, the verification methods you use, and how you ensure UK data-privacy compliance. I’ll review the proposed steps and set milestones together before we start.

I have a collection of PDFs containing tables that must be transcribed into a single Google Sheet. Each table holds both text and numerical values, and while many files have just one table, a portion include several that need to be captured separately yet placed in the same worksheet for easy consolidation. Accuracy is critical: every label, figure, and formatting nuance in the source tables should appear exactly the same in the sheet. Keep column order and headings consistent so downstream formulas run without rework. For files with multiple tables, please insert a blank row between each set so I can quickly distinguish them later. I will share the PDFs and an empty Google Sheet with the required header row. When finished, simply notify me—no extra macros or scripts are necessary;...

I have 120 pages of printed documents that I need keyed in by hand, line-for-line, into a single Google Sheet. The source pages include straightforward text and numbers—nothing handwritten—so it is purely a matter of accurate transcription rather than interpretation. What I need from you • A clean, well-structured Google Sheet that mirrors the layout of the originals (columns, rows, headings, and any subtotals). • Consistent formatting: dates as YYYY-MM-DD, currency with two decimals, and text exactly as it appears—including capitalization and punctuation. • Zero omissions or additions; every value on every printed page must be captured. I will scan the pages to high-resolution PDFs and share them via Google Drive at the start of the project. Feel f...

I’m gearing up to run a focused market-research study through SurveyMonkey and need an expert who can turn my objectives into a polished, data-ready questionnaire. The goal is straightforward: collect actionable product feedback centered on usability, feature set, and a new music-video sampling concept we’re testing. Here’s what I have in mind. You’ll translate those three focal areas into clear, engaging questions, set up any skip logic or rating scales that will keep respondents flowing smoothly, and configure the survey so that results can be sliced by demographic tags I’ll provide later. Once the draft is ready, you’ll walk me through it, make any tweaks, then push it live from my SurveyMonkey account. A quick primer on reading the analytics dashboa...

I have between 11 and 20 pages of handwritten notes that must be turned into a clean, well-structured Excel workbook. Every figure, label and annotation from the pages needs to appear in the sheet, and a handful of embedded charts sketched in the margins must be rebuilt with Excel’s native chart tools so the file remains fully editable. Accuracy matters more than speed: spelling, numeric values and any units written in the notes must match what I wrote, and the charts should mirror the original scales, series colours and titles. Please keep the workbook tidy—use clear headings, consistent column widths and chart formatting that looks professional. You can use any version of Microsoft Excel for Windows or Mac as long as the final file opens flawlessly in the current 365 releas...

I have one PDF that contains a series of clearly formatted tables. I need every row and column from those tables transferred accurately into a Google Sheet, preserving the original layout, headings, and cell order. You will receive the PDF as a single file. Your job is simply to open it, copy—or, if you prefer, programmatically extract—the data, and paste or upload it into the sheet I will share. Accuracy is critical; I’ll be double-checking totals, column alignment, and that no rows are missed. Deliverable • A Google Sheet mirroring each table in the PDF, ready for immediate use and further analysis. Acceptance criteria • 100 % of table rows and columns captured. • Original table headings retained. • No extra spacing, merged cells, or forma...

工作內容 製作符合台灣用户偏好的影音內容。 獨立完成影片剪輯與貼文文案撰寫，結合當前流行內容形式進行創作，提升帳號曝光與粉絲互動。 負責 TikTok、Facebook、YouTube、Line 等社群帳號的日常營運與內容發布。 根據數據表現持續優化內容策略與營運方式，定期追蹤與分析對標帳號及平台趨勢，並對影片及帳號表現進行復盤與整理 SOP。 任職條件 具備1年以上社群媒體或社群營運相關經驗，具備基本影片剪輯能力。 具備良好的責任感與執行力，能獨立思考並具備基本數據分析能力與學習能力。 曾經營自媒體平台（如 TikTok、YouTube、Instagram 等）者優先，有台灣市場社群營運經驗者尤佳。 加分條件 有FaceBook、Line群組經驗者優先 可遠端工作，可兼職 / 接案合作

• Description We have input data which is the wind speed and direction. The data consists of Recent History (input) Internal (output) Forecast (only use the regular-lat-lon-simple-level) to forecast the future: We will give you the links. Your desktop app, will use the recent history to train the model with the internal output. In realtime, your app will also read the latest file from U and V 10m to produce the latest forecast. The forecast is run every hour and will be saved into our database. We will give you the REST api to save your data. We will also need you to create a script to backtest the model. i.e. using the actual data of Jan to Dec 2024 to forecast the data of Jan 2025. The window can slide so Feb to Jan 2025 to forecast the data of Feb 2025 etc. We will also need ...

I have a batch of text sitting in several .docx files that needs to end up neatly organised in Google Sheets. Before anything is pasted, I want the content cleaned: extra spaces removed, line-breaks standardised, obvious typos corrected, and any duplicate lines weeded out. Once the text is tidy, copy it into the sheet column-by-column so each logical piece of information lands in its own cell. You will work directly from the Word documents I provide, use whatever lightweight scripts or Excel/Sheets functions you prefer for the cleaning step, and deliver one Google Sheet that contains the fully processed data plus a separate tab summarising any items you had to flag or could not confidently correct. That’s the whole job—import, clean, and present the text so it is instantly us...

I’m preparing to launch an export venture and need solid, data-driven insight before locking in my product lines. Specifically, I want a clear picture of current supply, demand, and growth trends in Asia for two groups of products: • Agricultural – grains & cereals, plus fresh fruits & vegetables • Engineering – machinery parts and construction materials Here’s what I’m looking for: 1. Recent five-year data on production, import & export volumes, average prices, key players, and seasonality for each product category across major Asian markets. 2. Identification of demand hotspots, supply gaps, tariffs, and any regulatory constraints that could affect margins. 3. A concise opportunity-risk assessment with recommendations on wh...

I need a quick data-grab from my FootyStats account. Once I share the login details and the exact list of leagues, simply navigate to each competition and download every available Team statistics spreadsheet. It should come to roughly 250 individual CSV/XLSX files. Only team stats are required—skip the match or player datasets. After all files are downloaded, place them in one organised folder, compress it into a single ZIP archive, and send me the download link or attach it here. Confidentiality is important, so please handle the credentials securely and delete them once the job is done. As soon as I receive and verify the ZIP (correct leagues, no corrupt files), the task is complete.

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工作內容： 製作符合台灣用户偏好的影音內容。 獨立完成影片剪輯與貼文文案撰寫，結合當前流行內容形式進行創作，提升帳號曝光與粉絲互動。 負責 TikTok、Facebook、YouTube、Line 等社群帳號的日常營運與內容發布。 根據數據表現持續優化內容策略與營運方式，定期追蹤與分析對標帳號及平台趨勢，並對影片及帳號表現進行復盤與整理 SOP。 任職條件： 具備1年以上社群媒體或社群營運相關經驗，具備基本影片剪輯能力。 具備良好的責任感與執行力，能獨立思考並具備基本數據分析能力與學習能力。 曾經營自媒體平台（如 TikTok、YouTube、Instagram 等）者優先，有台灣市場社群營運經驗者尤佳。 加分條件： 有FaceBook、Line群組經驗者優先 可遠端工作，可兼職 / 接案合作

I have several years of historical sales records spread across CSV files, Excel workbooks, and a database. I want you to turn that mixed-source information into a clean, consistent dataset, explore it for trends and seasonality, and then build a machine-learning model that can reliably project future sales. Data preparation must cover every stage—handling missing values, normalising numeric fields, and performing any transformations needed to feed the algorithms. Once the data is tidy, run an exploratory analysis so I can clearly see the patterns that drive revenue, especially how previous sales, marketing spend, and seasonal shifts interact. For modelling, I am open to linear regression, Random Forest, ARIMA, or another regression-based technique you can justify in the report. The...

I have a collection of customer reviews that must be transformed into clear, data-driven insight. The raw files might arrive as CSV, Excel, or even straight from a database—the format is flexible—so the first task is to clean and standardise whatever I supply. That means handling empty rows, removing noise (HTML tags, punctuation, stop-words, etc.) and normalising the text. Once the data is tidy I need robust sentiment classification. Please build the pipeline in Python, making sensible use of NLTK and/or TextBlob for tokenisation, lemmatisation and polarity scoring. The reviews span more than one language, but the immediate focus is on the English subset; your code should therefore detect language and process only English for this milestone while staying extensible for future...

I have a collection of customer reviews that must be transformed into clear, data-driven insight. The raw files might arrive as CSV, Excel, or even straight from a database—the format is flexible—so the first task is to clean and standardise whatever I supply. That means handling empty rows, removing noise (HTML tags, punctuation, stop-words, etc.) and normalising the text. Once the data is tidy I need robust sentiment classification. Please build the pipeline in Python, making sensible use of NLTK and/or TextBlob for tokenisation, lemmatisation and polarity scoring. The reviews span more than one language, but the immediate focus is on the English subset; your code should therefore detect language and process only English for this milestone while staying extensible for future...

I need help bringing together a batch of mixed data—both text and numbers—into one clean, well-structured file. The numerical portion already lives in several Excel spreadsheets, while the text accompanies each record in separate digital files that I will supply. Your task is to copy-paste or re-key these details into the template I provide, double-checking that every field lines up correctly and that numeric values remain exactly as stored in the original sheets. Accuracy is more important to me than speed, but I still need the work turned around promptly. Please be comfortable navigating Excel, using basic formulas to validate totals where needed, and spotting inconsistencies such as misplaced decimals or stray characters in the text. Deliverables • A single, consoli...

Title: I will build a customer churn prediction model using Python Description / Project Brief: Hi, I need a freelancer to develop a machine learning model that predicts customer churn for my business. The project includes: Data Cleaning & Preprocessing: Handle missing values, remove duplicates, encode categorical variables. Prepare the dataset for model training. Exploratory Data Analysis (EDA): Analyze trends and patterns in the dataset. Create visualizations to show factors affecting churn. Machine Learning Model Development: Train a supervised learning model (like Logistic Regression, Random Forest, or KNN) to predict customer churn. Evaluate the model using metrics like accuracy, precision, recall, and F1-score. Report & Recommendations: Provide a brief report summ...

Python Data Analysis & Machine Learning Project Description: Hi, I need a freelancer to help with a data analysis and machine learning project. The project includes: Data Cleaning & Preprocessing: Handle missing values, remove duplicates, encode categorical data. Prepare the dataset for analysis and ML model training. Data Analysis & Visualization: Analyze the dataset to identify trends, patterns, and insights. Create visualizations using Python libraries (Pandas, Matplotlib, Seaborn). Machine Learning Model Development: Build and train a supervised learning model (KNN, classification, or regression). Evaluate the model performance using metrics like accuracy, precision, recall. Documentation & Report: Provide a brief report of the analysis, model results, and r...

Fix & Improve Financial Modeling Accuracy for Real Estate Analysis Platform I have a real estate analysis app built with Python FastAPI. I need help checking and fixing a calculation issue in the backend. Some of the financial numbers are not coming out correctly, so I want someone to review the logic and fix the accuracy problem. This is a small task for now, not a full rebuild. You should be comfortable with: - Python - debugging calculation logic - financial formulas - Real estate experience is a plus. Please include your proposal your related experience regarding Real Estates Start your proposal with Financial Modeling Expert.

I need a rock-solid n8n workflow that, whenever I trigger it, navigates through selected e-commerce sites and public business directories, captures every piece of business information that is publicly available, and stores it in a clean, query-ready format. The data I care about includes the business name, category or type, “about” text, founders’ names, any additional corporate details the site reveals, plus all images properly downloaded and tagged. I will be running various data-analysis models on the output, so accuracy, consistency, and tidy structuring are non-negotiable. The flow must: • Accept a list of target URLs and run on demand (no fixed schedule). • Respect and site rate limits while still remaining efficient. • Handle pagination, lazy-...

Performance Marketing Manager (Google Ads + Meta Ads | E-commerce) We are a U.S.-based e-commerce company specializing in plumbing and water filtration supplies. We sell through our own website and multiple online marketplaces and are expanding our digital marketing efforts. We are looking for a Performance Marketing Manager with a proven track record managing and scaling paid advertising campaigns across Google Ads and Meta/Facebook Ads. This is a data-driven, results-oriented role focused on measurable metrics such as ROAS, CPA, and conversion rate improvements. Responsibilities • Manage and optimize paid advertising campaigns in Google Ads (Search, Shopping, Performance Max) • Manage and optimize Meta / Facebook advertising campaigns • Conduct keyword research and im...

I need a well-structured research paper that examines how artificial intelligence shapes user trust on social-media platforms. Your analysis should stay tightly focused on the trust dimension—how algorithmic curation, recommendation engines, content moderation and sentiment analysis influence users’ confidence in what they see and share. I expect you to ground every argument in recent, peer-reviewed journal literature and reference those sources in APA style. Please avoid blogs, news pieces or vendor white papers unless they merely provide context; the core evidence must come from scholarly work published within the last five years. Deliverables I will review: • An outline showing key sections, main arguments and the peer-reviewed sources you plan to use • A 4,000...

I have four Excel workbooks that I now need housed in an existing MS Access database. None of the sheets are relational at the moment, so the job is a straight import and structure clean-up rather than designing complex links. Here’s what I need from you: • Import 4 existing Excel Files into 4 tables in an existing MS Access DB (.ACCB) • Add a few basic queries so I can filter, sort and export the data quickly. • Delete bad data and duplicates The project is to be done in .net with WPF user interface. Once complete, send me the .accdb file and the brief how-to notes—that’s it. If something in the data suggests a better structure, feel free to flag it before you proceed; otherwise, a clean one-to-one migration is all I’m after.

Our entire pricing catalogue currently sits in a single Excel workbook, but we have a new CMS system that contains a new spreadsheet structure that will serve as the future-proof version of our pricing system. I need every element moved across—product and service descriptions, image links, materials, equipment, labour rates, and any related look-ups—while reshaping the data to fit the new column order, field names, and calculation logic that lives in our new program. Because the new template differs from the old one, this is more than a simple copy-and-paste job; it calls for significant data transformation. You may need to: • split or merge fields, • convert formulas into more efficient functions, • normalise units and naming conventions, and • ...

I already have a clean, curated dataset sitting in Salesforce CRM Analytics . What I now need is an engaging dashboard that turns those rows into insight. The data is loaded and modeled, so the task is purely visual: build the bar and line charts I specify, arrange them into a single interactive dashboard, and apply any filters or bindings required so users can drill down without delays. The subject matter is banking-related, so every chart should highlight the metrics that matter to that sector—think revenue flow, account growth, and other teller-to-boardroom indicators—yet all of the source fields are ready for you to pick up. I will share a short spec for each widget; you translate it into lenses, add the SAQL tweaks if needed, and publish the finished dashboard to our CRM ...

I need an expert to analyze daily rainfall data for my farm and build a predictive model. The analysis should cover: - Trend analysis - Anomaly detection - Seasonal patterns assessment The goal is to develop a robust rainfall prediction model. Ideal skills and experience include: - Proficiency in data analysis and statistics - Experience with predictive modeling - Knowledge of agricultural impacts of rainfall patterns - Familiarity with relevant software and tools (e.g., Python, R, etc.) The data is very erratic so I dont need a detailed monthly prediction model although it would be nice if possible, otherwise a yearly prediction model or atleast something that says a dry season is coming or a wet season is coming. The model must include macro environmental factors such as El Nino (ONI...

I need an interactive HR analytics dashboard that lets me explore employee attrition, workforce demographics, and job-satisfaction trends in one place. The finished product should surface essentials such as total headcount, overall attrition rate, age distribution, department-level turnover, education-field breakdowns, and satisfaction scores, all with drill-through and filter capability so the HR team can quickly pinpoint patterns behind employee exits and make data-driven decisions. I marked “data analytics” as the preferred environment because I care more about seamless insight discovery than about whether the final interface is strictly web-based or desktop; feel free to recommend the most practical hosting approach as long as the experience remains smooth and secure. Pow...

I have a single PDF that holds several hundred pages of ledger entries recorded over multiple years. Because of irregular spacing, merged columns, and stray narrative comments, the file can’t be queried, reconciled, or audited in its current form. Your task is to turn every line in that PDF into a structured dataset that I can drop straight into accounting software or run analysis on. Scope of work • Parse the PDF and capture every transaction—including dates, descriptions, reference numbers, debit / credit amounts, and running balances—without loss of detail. • Correct inconsistent number formats (e.g., minus signs, comma placement, mixed currencies) and standardise dates to ISO. • Isolate any narrative comments so they appear in a separate &ldqu...

I’m a consultant working with schools and childcare centers on their Child Nutrition Programs (CACFP and NSLP). I’m seeking an experienced professional to provide on-demand support with various tasks, including: * Reviewing and refining breakfast, lunch, snack, and supper menus that meet CACFP and NSLP guidelines — while still appealing to children. * Verifying menu compliance with meal pattern standards and ensuring accurate nutrition analysis. * Collecting and reviewing supporting documentation (nutrition fact labels, product formulation statements, standardized recipes) to confirm proper quantities and compliance. * Preparing and reviewing production records to accurately document portions, yields, and leftovers. * Checking daily meal counts, consolidating tallies, an...

I need a robust Excel model that focuses on revenue projections for a short-term rental / Airbnb portfolio. The spreadsheet should let me plug in nightly rates, expected occupancy, and seasonal adjustments so I can see monthly and annual revenue at a glance. Key elements to build in • Seasonal variations – automatic high, shoulder, and low-season multipliers • Occupancy rates – editable assumptions down to individual property, with a summary dashboard • Pricing strategies – side-by-side scenarios for static, dynamic, and minimum-stay pricing Please structure the workbook so I can easily add properties, change assumptions, and export clean PDF reports for investors. Charts that visualise ADR, RevPAR, and total income over time will be helpful, but...

I have several production PL SQL scripts that are starting to show their age: execution times have crept up and they are consuming more CPU and memory than I am comfortable with. The primary focus of this project is therefore PLSQL itself, not application-level logic or UI work. What I need from you is a careful optimisation of the existing codebase. The goal is two-fold—raise overall performance and cut back on resource usage—without changing the functional output in any way. You will be working with code that is already in use, so a light-touch, incremental approach that can be verified against current results is essential. Deliverables I expect • Revised PL SQL scripts ready for drop-in replacement • A short before/after performance summary (timings and resourc...

I run an entertainment-focused YouTube channel that is edging closer to the 4,000 public watch-hour threshold, yet average viewer retention still holds us back from full monetization. I need a specialist who can dissect my existing videos and analytics, then provide clear, data-driven actions that lift watch time across the board. Your insights should cover pacing, hook placement, storytelling flow, and how to weave pattern-interrupts naturally into my style. I am open to tweaks in editing rhythm, thumbnail/title alignment with content, and smarter deployment of end screens or playlists—whatever will keep viewers watching longer without compromising the fun, laid-back tone of the channel. Deliverables • An audit report of my latest 10 videos highlighting retention drop-off...

R Expert Needed: Advanced Signal Processing for Maternal, Fetal & Neonatal Health We are seeking a senior R scientist with deep experience in audio / seismic data, wavelet methods, and Bayesian modeling to help demonstrate that R is just as good as Python at surfacing early physiological health markers. This role is for someone comfortable working below the noise floor—where the signal of interest is subtle, nonstationary, and embedded in the mechanics of living systems. What you’ll work on 1. Signal conditioning & noise removal * Design and evaluate signal conditioning pipelines for low-amplitude physiological data * Implement filtering strategies to remove mains contamination (50/60 Hz and harmonics), including: o Notch / comb filters o Adaptive and time-varying filt...

I’m running a steady-state, two–phase condensation model for a single steam-carrying tube placed inside a rectangular duct through which the cooling medium flows. The goal is to quantify heat-transfer efficiency along the tube wall and map local condensation behaviour. All pre- and post-processing must be done in ANSYS Fluent – that is the environment my wider workflow depends on. I already have basic geometry and material data; what’s missing is a robust setup that captures phase change, solves for the temperature field on both sides of the tube, and outputs wall heat-flux, overall U-value, and condensate distribution with mesh-independent accuracy. Key points • Physics: two-phase (steam → liquid) condensation, steady-state, turbulent flow inside and ...

I need a reliable freelancer to pull a blend of text and numerical information from several specified online sources and enter it directly into our live database. You will receive secure database access, complete field guidelines, and a short orientation video so you understand the required structure before you begin. Accuracy is critical; each record must match the formatting rules I provide and all values need to be double-checked for consistency. You should already be comfortable working inside a web-based database interface or with SQL tools, and able to keep a clear audit trail of changes. When the assignment is complete I’m expecting the database to be fully populated, error-free, and ready for immediate reporting use.

I am putting together a comprehensive inventory-management report that draws on several different raw data sources and I need your help building it in Advance Excel, enhancing it with Macros/VBA automation, and visualising the results in Power BI. Here is what I have in mind. Multiple CSV and spreadsheet feeds will be consolidated, cleaned and reshaped inside Excel. Macros or VBA routines should automate the refresh and mapping process so I can drop new files into a folder and have the workbook update itself without manual intervention. From there, the prepared tables need to flow into a Power BI model that produces an at-a-glance dashboard highlighting current stock levels, inbound and outbound movements, and any exceptions that require action. I will supply sample data so you can design...

I am preparing a full-length marketing dissertation that relies exclusively on qualitative research aimed at uncovering current market trends and insights. I already have the broad topic but need an experienced academic writer who can guide the entire project—from sharpening the research question through to the final polished manuscript. You will help design an appropriate qualitative methodology (in-depth interviews, focus groups, or similar), collect and analyse the data thematically, and write each chapter in clear, scholarly English. Proper citation and up-to-date academic sources are essential; I usually work with Harvard referencing but can adapt if you are more comfortable with APA. Key deliverables • Concise research proposal (topic justification, objectives, basic m...

Each week I’ll send you a fresh export of our inventory data straight from the ERP. Your job is to turn that raw sheet into an easy-to-digest story in both Excel and Power BI. Here is what I’m after: • In Excel: a cleaned, well-structured workbook with dynamic tables, formulas or Power Query steps that let me drop in the new file and refresh. Pivot tables and slicers should make it effortless for me to drill down by SKU, warehouse and ageing bucket. • In Power BI: an interactive dashboard that mirrors the Excel logic but adds richer visuals—bar charts, pie charts, line graphs and any other view you feel best highlights stock movement, excess, and potential shortages. The report needs to refresh from the same data source I provide and should be easy for me t...