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R and SparkR Data Scientist

$15-25 USD / hour

Closed
Posted about 6 years ago

$15-25 USD / hour

Looking for an experienced R and SparkR Data Scientist to have in-depth knowledge on Random Forest, Gradient Boost, XGBoost, etc. models.
Project ID: 16759142

About the project

11 proposals
Remote project
Active 6 yrs ago

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11 freelancers are bidding on average $26 USD/hour for this job
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Hi I am a very experienced statistician and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several companies and have done projects involving high level quantitative analysis and data interpretation skills to study the trends, time behaviour and compare the variables in the data. I can do advanced level analysis in SPSS, R, WEKA, TABLEAU and excel tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash
$50 USD in 40 days
4.8 (95 reviews)
6.6
6.6
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I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Application. My area of expertise is building financial models (Stock Markets) , Image Processing and building models for food, healthcare and telecom sector, Classification/Prediction/Clustering, NLP and Chatbots. I have the requisite skills on SparkR. I understand the project requirement and will deliver the desired product within the time specified. I would like to hear from you. Thanks Shivam
$20 USD in 40 days
4.9 (55 reviews)
6.2
6.2
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Hello, I have the good knowledge of R and SparkR Data Scientist. I have more than 5 years of experience in Data Mining, Mathematics, R Programming Language, Statistical Analysis, Statistics. We have worked on several similar projects before! We have worked on 300+ Projects. Please check the profile reviews. I can deliver your job with in your deadline. Please ping me for more discussion. I can assure the 100% job satisfaction. Thanks,
$50 USD in 40 days
4.8 (26 reviews)
5.6
5.6
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Hi there, I have great knowledge with Random Forest, Gradient Boost, XGBoost, etc... Check out my profile, portfolio, and former clients feedback - that'll let you know everything about me. Please feel free to contact me so that we can discuss further details. Thank you for taking the time to read my proposal.I am looking forward to hearing from you. Kind regards
$22 USD in 40 days
5.0 (7 reviews)
4.6
4.6
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Hi, I have experience using R and SparkR (and sparklyr) for big data analysis and machine learning. I code mainly using RStudio. Regards, Chris
$20 USD in 40 days
4.7 (9 reviews)
4.9
4.9
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Hello, I have done master's in mathematics and statistics. I am expert in R and I am owning a 5 people team here so we are one of the suitable candidate for this project. Feel free to contact me. Thanks Hemant
$20 USD in 40 days
5.0 (5 reviews)
2.6
2.6
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Hello, How are you? Let me know your details/requirements please. I am familiar to R and SparkR, and Random.., Gradient Boost, XGBoost, etc. models. I'll be strictly as a skilled and deep experienced R programmer & mathematician & data expert, as well as mobile app developer. As an expert, my skills and work results will exceed your expectations. ASAP!, Best product!, Lowest quote! I went through your description/proposal, and so I fully understand your target, well. I have rich experience and deep expertise please feel free to contact me Thank you.
$15 USD in 40 days
0.0 (0 reviews)
0.0
0.0
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My name is Santhosh Subramanian, and I am currently a junior at University of California, Berkeley studying Applied Mathematics, Computer Science, and Industrial Engineering and Operations Research. Leveraging technology to maximize innovation and productivity has been a passion of mine - To solve and optimize everyday solutions in any way that may be - Growth Hacking, Operations, Marketing, Software Engineering, etc.
$15 USD in 40 days
0.0 (0 reviews)
0.0
0.0
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I am a M. Phil student guide
$33 USD in 10 days
0.0 (0 reviews)
0.0
0.0

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