Expert in R with significant experience working with big data sets (>10GB)
$25-50 USD / год.
Problem: The R script we've been using, in combination with Microsoft's version of Open R, no longer works for larger applications for our growing database (e.g., files >10GB, datatables with greater than 2^31 rows, matrices > 50k x 50k).
Need: An expert in R coding with significant experience working with big data sets to: (1) clean up our code and make it more efficient/reduce run time and (2) optimize the power of our machines (all with 8 core CPUs and 32GB RAM) to perform big data reshaping and calculations (joins, long to wide transformations, matrix operations, etc.).
Code we need fixed is uploaded for reference.
Note: We are looking for a data scientist to work with us beyond this project. We view this as a first step towards a longer-term collaboration.
ID Проекту: #18517869
Про проект
12 фрілансерів(-и) готові виконати цю роботу у середньому за $40/годину
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Hello, I have gone through your job posting and become very much interested to work with you. I am an expert in this field. I have already completed several projects like this. For evidence you can see my profile. Більше
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Hello dear, Hope you will be doing fine. I have read your job description and I find myself suitable for this job. We are having valuable experience in Data Entry, internet Researcher, MS Word, word to PDF to wo Більше
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I have worked on multiple projects related to data science sector. Relevant Skills and Experience I have experience in Python , keras , tensorflow, opencv and other related tools.
Hello! Have been working with R as a Data Scientist in Banking for 5+ years. Have used R for data wrangling, reporting and credit scoring models development. Will be glad to help.
I am working as Data analysis trainer for R, Origin and Excel. I have a experience in big data analysis in Genomics, where the file size is of 10 MB to 25GB. Also have an average knowledge of shiny R, Python -pandas, Більше
we know how to help you and we can work hard, and resolve your problem using the best practices and all our experience. We are working at the university teaching to the new minds. We love our job and we love the data.