Nagpur, Maharashtra, India
Recent graduate from IIT KGP experienced in data analytics using python, seeking opportunities in Analytst, Finance, Development and Project Management.
• Revamped SQL queries, enhancing data retrieval efficiency by 35% and managed successful data migration for 20+ projects. • Processed satellite data to forecast seasonal agricultural output, integrating results into commodity index movement predictions. • Performed agri-sector financial and investment analysis, developing a pitch deck that secured INR 50 lakh funding from investors.
• Utilized pooled panel data for 37 countries & 2 years, aligning HS and ISIC codes with concordance tables for sectoral benchmarking. • Built a dataset of 25 manufacturing sectors with RCA indices, and firm-level controls, enabling financial modeling. • Applied fractional logit model to analyze how comparative advantage influences export intensity, producing quantitative insights. • Produced reproducible outputs, sector-level insights, and cross-country findings, supporting export and policy analysis in trade.
• Predicted the groundwater salinity of whole India based on 9 years of data • Preprocessed multivariate groundwater datasets (2013–2022) using advanced imputation, outlier detection, and feature scaling techniques and applied GIS-based spatial modeling and temporal trend analyses to map salinity risk zones with an accuracy of 90% in hotspot identification • Engineered predictive models using Random Forest and Gradient Boosting for salinity estimation, achieving mean absolute error reduction of 15% through k-fold cross-validation, and derived feature importance through statistical correlations • Developed LSTM and GRU architectures to capture spatiotemporal dependencies in groundwater salinity data, enabling high-accuracy trend forecasting and actionable insights for resource management