Dec 2024 – Jul 2025 · 7 mos · Kentucky, United States · On-site

• Jefferson County Public Schools (JCPS) in Louisville, KY, is a public education system serving one of the largest school districts in Kentucky. The district operates in the education industry, providing K–12 academic programs, student support services, and community engagement initiatives to foster learning and development for thousands of students across the county.
• Behavioral Risk Modeling: Designed and implemented statistical and econometric models assessing behavioral risk across 167 schools and 90,000+ students, improving early intervention strategies and enhancing student support outcomes.
• Report Automation: Automated and maintained three monthly reports using SSIS and SSRS, delivering timely, accurate insights on student performance, attendance, and budget metrics to administrators, leadership, and finance teams.
• Data Management & Integrity: Extracted, cleaned, and transformed large educational datasets using MS SQL Server and R, ensuring data accuracy, integrity, and compliance with organizational policies.
• Data Visualization & Decision Support: Built interactive dashboards in Power BI (Power Query, DAX, and semantic modeling) to visualize KPIs, enabling better decision-making among non-technical stakeholders.
• Financial Data Alignment: Collaborated with the finance department to enhance fund data quality, support budget planning, and align reporting systems with organizational goals.
• Program Evaluation Optimization: Partnered with the Program Evaluation team to automate surveys and develop evaluation metrics, leading to a 25% improvement in intervention targeting across district-wide programs.

Aug 2023 – Aug 2024 · 1 yr · Cincinnati, Ohio, United States · Hybrid

• The Lindner College of Business at the University of Cincinnati, located in Cincinnati, OH, is a higher education institution specializing in business and economics education. It offers undergraduate and graduate programs that focus on areas such as finance, marketing, management, and applied economics, preparing students for careers in business, research, and data-driven decision-making.
• Delivered hands-on instruction to over 200 students in applied Excel (XLOOKUP, PivotTables), R, and econometrics, helping improve their analytical thinking and data literacy in a business context.
• Conducted comparative forecasting analysis using AI/ML models (Prophet, scikit-learn in Python) versus traditional econometric approaches to support academic research and curriculum innovation.
• Supported course development by creating learning materials and applied case studies, bridging the gap between theory and real-world data applications in business analytics.

Jan 2023 – Jul 2023 · 6 mos · Kochi, Kerala, India

• State Bank of India (SBI) in Kochi, India, is a major financial institution operating in the banking and financial services industry. As India’s largest public sector bank, SBI provides a wide range of services including retail and corporate banking, loans, investment solutions, and risk management, serving millions of customers nationwide.
• Extracted, cleaned, and analyzed large volumes of financial and loan portfolio data using SQL Developer and Excel, enabling deeper insights into client creditworthiness and risk segmentation.
• Developed and deployed machine learning models in Python (scikit-learn) to classify client behavior based on payment timing, frequency, and default patterns — resulting in a 20% improvement in reporting accuracy.
• Conducted exploratory data analysis to support loan risk assessments and helped inform credit decisions across multiple business units.
• Adapted quickly to a highly regulated financial environment, ensuring data processes remained compliant with changing internal and external policies.
• Managed and streamlined multiple concurrent reporting projects, often under tight deadlines, by building automated reporting workflows and collaborating cross-functionally with compliance, finance, and risk teams.
• Contributed to early detection strategies by identifying high-risk accounts, improving resource allocation in loan recovery and restructuring efforts.

Aug 2022 – Apr 2023 · 8 mos · Bengaluru, Karnataka, India

Jul 2020 – May 2021 · 10 mos · Kerala, India

Nov 2019 – Mar 2022 · 2 yrs 4 mos · Kerala, India