RSTUDIO PROGRAMMERS

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, POWER BI, and EXCEL tools like machine learning, deep learning, AI, NLP, hypothesis testing, forecasting, T-test, ANOVA etc. Looking forward to discussion, Best Regards, Suyash

I am a data scientist and a big data developer with more than 4 years of experience in developing solutions for the client using advance technologies like Machine Learning, Deep Learning, Apache Spark and Spark Streaming using Python and R. Moreover I have hands on experience in deploying production ready models using cloud services like AWS and Azure. I have complete knowledge in developing complete data science life cycles which includes Data Collection, Data Wrangling, Feature Engineering, Data Modeling and Data Visualization. Below are the technologies i have experience in - Machine Learning - Supervised and Unsuperived ML Models Big Data - Spark and Hadoop Cloud Tech - AWS Datapipelines, AWS EMR, AWS Aurora DB, Amazon Redshift, AWS Lambda and more, same is with Azure. Orchestration Tools - Apache Airflow, Luigi, Ansible, CronJobs, etc. Reporting Tech - PowerBI and Tableau Programming Languages - Python, R and Scala. I can share with you my previous work in the related fields. I would like to know more about your project/assignment. Thanks.

Hi there, I am phd in statistics from IIT Kharagpur and working as data scientist since 5 years. I have 10 years of experience in R. I can give you a quality and quick output. Thanks

I am well experienced in Data analysis,and from filling. So I request you to hire me.

Proficient typing and transcription. Computer and technical skills (including software knowledge) Organisational and time management abilities. Administrative skills. Communication (written and verbal) Customer Service. Accuracy and attention to detail. Multi-tasking.