Tharun Ponnaganti Email & Phone Number

United States

•Spearheaded the migration from SAS to the GCP-Python ecosystem, enhancing ETL pipelines for efficiency and scalability, reducing run-time from 20 minutes to 2 minutes, saving $100,000 and resolving data discrepancies• Created 30+ Tableau reports, improving the process by 30% and enhancing executive decision-making with clear visualizations of KPIs.• Developed advanced predictive analytics models using Python and SQL to enhance lead scoring for P&C insurance campaigns, analyzinga dataset with 6.2 million records and 97 features, resulting in a 30% increase in sales• Implemented and tuned logistic regression, random forests, and gradient boosting, achieving an AUC of ROC 0.88• Enhanced business insights by analysing insurance trends using Python, SQL leading to a 30% improvement in customer and agent relations.

• Programmed data scraping, cleaning, and analysis (1,143 campaigns) from SportFunder via Selenium, Python, and ML; secured up to 0.842 AUC scores; Performed Sentiment Analysis, Topic Modeling, NER and Predictive Modeling

India

• Worked on Waterfall project execution methodology.• Developed complex queries and designed SSIS packages to load the data into the warehouse.• Used SSRS, Microsoft Power BI and Microsoft Excel: Pivot Table, Power Query, Power Pivot, and Data Models to gather information from multiple sources and deliver information to the end user• Utilized Power BI to build interactive and visually appealing dashboards and reports, Spotted key performance indicators with apt objectives, Analyzed pervious and present data for better decision making•Utilized various Python packages for data analysis like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and Seaborn to find patterns of users and product behavior to research different features.•Integrated Power BI with Excel and other data sources to create reports that update automatically with new data.