• Conducted exploratory data analysis (EDA) to visualize and analyze data distribution. • Performed sentiment analysis on customer feedback data and provided insights to improve customer satisfaction by 60%. • Developed ML based integration and recommendation system to increase customer retention rate. • Collaborated with cross-functional teams including product, design, sales, and marketing for shaping future product road maps.

• Performed ETL on large datasets for developing intelligent business solutions and used Tableau for reporting and visualization. • Measured the impact of predictive models on marketing and business strategies by real-time Ad hoc reporting. • Engaged with business stakeholders to gather requirements and prioritize projects to ensure timely and successful deliverable. • Promoted uniform resource distribution using Monte Carlo simulation leading to reduced wait-time (by 20%).

• Developed machine learning (SVM, XGBoost) based time series day ahead and intra-day forecast models for renewable (solar). • Introduced transfer learning model for solar power generation for generators with no historical data. • Generated forecast for over 110 solar and 10 wind power plants with around 97 % accuracy.

• Collected, organized, and analyzed large data with attention to detail using SQL. • Conducted data scrapping, pre-processing, and feature engineering (dimension reduction, outliers’ treatment, interpolation). • Worked on AWS and Digital Ocean servers for data ETL, code execution and scheduling.