Satish Yadav
@satishyadav
Data Scientist at Eeki foods
Kota, Rajasthan, India
Satish Kumar Yadav is a Data Scientist with 8.8 years of experience in Data Science and Analytics. He has a proven track record of working with cross-functional global teams. His expertise includes building forecasting engines, developing predictive models using machine learning, and managing off-shore teams. He is proficient in various statistical and data analysis techniques.
Experience
Data Scientist
Eeki foods
Built a forecasting engine using machine learning to forecast the demand for all food products at multiple points in the future. Managed an off shore team of 5 resources mentoring them on methodologies and managing priorities. Technologies: Python, R & SAS.
Data Science Consultant
Statistics Horizons
Built an integrated referral framework, which refers Humana members to programs based on their specific needs using data like medical & mental health conditions, life style choices and prescription adherence. AB testing the referral program showed a significant drop in the average monthly cost of the users over 6 months. Built a predictive model using random forests and logistic regression to identify Humana members who are highly likely to attempt suicide using data sources like historical medical and prescription claims data, lab results, program eligibility and program participation data. Technologies: SAS, SAS EM & SQL.
Data Science Consultant
IASRI
Modeling pest population under climate change and development of digital tools for pest management. Created course content and trained a batch of 60 new hires in statistics and SQL as a part of their induction process. Mentored a group of 4 new hires by helping them deliver a project end to end. Technologies: SAS & SQL.
Education
IASRI Pusa New Delhi
Ph.D. Statistic
Time Series and Forecasting
Thesis has been summited.
Indian Agricultural Statistical Research Institute
M. Sc. Agricultural Statistics
Agricultural Statistics
Designed experiments to test hypothesis by targeting crop’s. Built a campaign sizing tool to slice and dice end-user data to determine user counts and finalize the audience sizes for a campaign. Technologies: R, SQL, PowerBI.
Chandra Shekhar Azad University of Agricultural & Technology
B. Sc. Agricultural
Agricultural Science