LTI Mindtree November 12, 2025 - January 30, 2026 Executed 100+ test cases involving dataset manipulation and verification, mirroring data cleaning and preprocessing workflows in analysis projects. Generated reports on data discrepancies using tools like Excel and SQL, contributing to enhanced decision-making in quality assurance akin to business intelligence tasks. Supported end-to-end data pipeline testing, gaining hands-on exposure to data ingestion, transformation, and visualization fundamentals.

Godrej Infotech October 19, 2023 - December 21, 2023 Processed & cleaned 100K+ sales/customer records using Python (pandas, NumPy) and SQL (JOINS, aggregations), ensuring data integrity for analytics. Performed EDA and predictive modeling (regression, classification in scikit-learn), improving marketing forecast accuracy and campaign targeting. Partnered with agile team members (5+) delivering presentations of insights, helping data-backed project decisions.

IBM SkillsBuild June 12, 2023 - July 19, 2023 Applied Python (pandas, NumPy) and advanced SQL (JOINs, subqueries, window functions) to extract and transform large datasets. Built interactive dashboards & automated reports (Power BI, Plotly, Dash) to track KPIs and support data-driven decisions. Worked with time-series datasets and performed validation checks similar to equity price data. Documented data dictionaries and applied validation logic aligned with corporate action adjustments (dividends, stock splits). Delivered analytical insights in agile team projects, presenting results to mentors and project lead.

SmartKnower pvt ltd April 19, 2022 - May 19, 2022 Analyzed course purchase trends with time-series methods (ARIMA, Prophet) and ML models (XGBoost, RF, Logistic Regression), improving forecast accuracy by 15-20%. Conducted EDA (pandas, seaborn, matplotlib) to identify demand drivers, boosting adoption by 20% across regions and institutions. Designed dashboards (Power BI, Streamlit) that streamlined reporting by 30%, enabling faster, data-driven planning. Performed data validation checks and documented data dictionaries, contributing to higher data quality and smoother UAT for reporting systems.