+5 years of experience IT as a Data Scientist, and an expert as a System Engineer. Recently, an EDA process was applied to the raw data so cleaning, and dropping unnecessary rows and columns were utilized. The customer uses this model to automate the selling price. Cleaning up the live scraped data from the site with the End-to-end projects, EDA process (checking data quality and feature engineering to create new features, clean, organize, analyze, summarize, and visualize data).
After the implementation of the EDA process, shortening the sales period by suggesting a price with predictive analysis (Python Scikit-Learn) while selling them to the new person who will come to the site and deploy on AWS using Sagemeker or Streamlit.
Was gained foundational AWS skills through AWS ReStart training, how to operate, use, and optimize AWS services. Developed hands-on experience with AWS services through practical exercises and applications.
Experienced in IT and Machine Learning, Artificial Intelligence, Statistical Modeling, Data Analysis, Predictive Analysis, Data Manipulation, Data Visualization, and Business Intelligence. Proficient at building robust Machine Learning and deep Learning models.with Scikit-Learn, Keras and Tensorflow. Python libraries like NumPy, Pandas, Seaborn, and Matplotlib for data analysis, data extraction, data manipulation, were used.
Web data was scraped from a real estate page for a freelance job and the price was estimated using machine learning algorithms. Streamlit was used to bring the model live and moved it to the cloud environment. Proficient in Python, SQL, and other programming languages. Strong communication, problem-solving, business understanding, and analytical skills are possessed. Eager to learn new technologies and tools to enhance data science and system engineering capabilities.