Expert in R with significant experience working with big data sets (>10GB)

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 Applications using flask/django. 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. Specifically, I have worked for long on machine learning and Deep learning including computer Vision and natural language processing and model building for the same. I understand the project requirement and will deliver the desired product within the time specified. I would like to hear from you. Thanks Shivam

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. Please visit : https://www.freelancer.com/u/schoudhary1553 I have excellent command over English. I am a hard worker, productive and worthy of your attention I hope, I would be the right candidate for this post. Awaiting an affirmative response from you. Kinds Regards, Sandeep

Hi I am a very experienced statistician, data scientist 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, PYTHON, WEKA, TABLEAU and EXCEL tools like machine learning, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

Hello, I am a data scientist and R programmer. I am a full time freelancer who does not outsource work, I do my projects myself. I have read your description and I can relate to the problem you are having, writing R code and actually making it work on LARGE datasets are two different things. I have recently ( about a month now )worked on a dataset that was 108Gigabytes. It can be tricky to manage those kinds of datasets, but there are ways to do so. I haven't yet looked in depth into the code to know what kind of analysis you are doing, but I could think of some potential solutions. Generally speaking, R isn't so good with datasets with too many columns, it is written is a kind if mathematical approach which is computationally heavy when operating on datasets with a big number of columns. A possible way to go around this is to subset data or transpose it, of course not using the trafitional ways, because those ate heavy too. Another would be to reduce dimentionality or drop irrelevant variables, but it all depends on the data. I would like to know what field is this data from, and what type is it ? That would help me a lot in deciding how to approach the problem. I will be waiting for your reply so we could discuss further details about this project which actually interests me a lot ! It gives this vibe of some serious real life problem that we have to tackle, and I love challenges :D Looking forward to hear from you. Thank you, Mohamed Yassir K.

Hi there,I am R expert from Bosnia & Herzegovina,Europe. I have carefully gone through with your requirements and I would like to help you with this project ! I can start immediately and finish it within the agreed deadline. 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. Best regards, Miljan

I have a Masters degree in Economics and Statistics with 7years of professional experience working as a Quantitative Analyst (in the field of Statistics).As professional statistical analyst seeking opportunity to provide the highest quality services in the following areas of Statistics, Econometric, SPSS, STATISTICA, SAS, Eviews, Minitab, R language, Mathematica and MS Excel. Looking for outstanding opportunities to apply my academic credentials coupled with my previous experiences. So get your statistical job done here! I can do: Statistical programming like C programming, Computing for Data Analysis, Time Series & Econometric, Economic Modeling, R language and Python, Academic data analysis and report writing.

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 word, WordPress, Data compiling from yellow pages and other various related business works. I am committed to serve my clients at the highest level of satisfaction and quality with my honesty, hardworking and exceptional skills. I always try my 100% to make my client satisfied and smile. So, Let me allow to prove my words! Waiting for your kind response. Thanks Regards maliksun

Customer's satisfaction is my goal *** *** Also 100% Completion is happy of me and client. *** *** Rest is my creative idea and honest effort. *** Looking to be your Good Venture along with your project! Best Regards.

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, Java Script.

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.