Ashwini Patil

Applied Dimension Reduction Techniques in order to understand; Managed portfolios of clients & monitored trades on a daily basis; Built regression models using sklearn in Python to predict prices of the trades; what causes change in pricing of a trade using libraries like NumPy,Pandas, matplotlib in Python.

Managed over 20+ campaigns to conduct contextual content marketing by customizing offers for customers using R & Python; Predicted customers likely to respond to campaigns using regression in R; Targeted burgundy(high revenue) customers to increase revenue using R; Processed Images to identify details such as Bill numbers, signatures to detect frauds using Natural Language Processing(NLP) using MATLAB; Predicted suitable month to borrow/lend money by understanding market trends though RBI & FIMMDA’s website using Python; Designed & developed web applications using R shiny for 15+ departments of NABARD for PAN India containing data on loans, grants etc using R shiny; As a part of risk management , SMAs were focused on to reduce NPAs using R.

Predicted driving factors in election for a political party in the TMC elections; Votes increased from 1200 to 6500 votes from the past election due to the; Increased revenue for a retail company using linear regression to predict sales using R; Predicted factors influencing sales by running logistic regression model with high accuracy using R; Reduced customer churn rate and catered to the falling average revenue per user through data analysis and statistical modelling in R; research and strategies using descriptive statistics in R & Excel; of a telecom company using R.