MATH 331: Ordinary Differential Equations for Scientists and Engineers- Graded assignments for 250+ students in MATH 331.- Provided thoughtful feedback to help students learn from mistakes and improve.

- Advising undergraduates on academic planning, course selection, and career pathways in economics.- Collaborated with faculty with the economics curriculum and emerging economic theories and practices.

- Anomaly/Fraud Detection in Banking: Supported Anti-Fraud Service through semi-supervised learning techniques (Isolation Forest, One-class SVM), installed in 230+ RegTech Clients.- Web Development: Assisted UI development for Kiya.ai’s UPI platform (mobile banking), optimizing performance for high-traffic scenarios, and ensuring seamless integration with multiple transaction channels (ATMs, Internet, Mobile, POS).

- Developed linear separability testing model through sphere-based approach (with NumPy) using Minimum Covering Ball algorithm reducing time complexity by 12% compared to current QuickHull algorithm for higher dimensions.- Machine Learning: Utilized G2SAT generative framework to generate SAT formulas (Boolean Satisfiability problem) through PyTorch and scikit-learn library.- Analysis: Tested generated datasets for linear separability using Scikit-learn, reducing model training time by 24%

- Research: Researched AI-driven adaptive learning systems under PhD mentorship, analyzing systems’ effectiveness in educational content; quantified improved engagement rates by 26% through user interaction data analysis.- Data Science: Utilized SVM and label encoding algorithms for data processing, through scikit-learn and Pandas for complex classification & outlier detection in student grade survey datasets.- Presentation: Presented research into visual reports (via seaborn) in Power BI at UMass, demonstrating the 31% increase in students’ grades due to AI-based learning systems.

- Conducted equity research on 15 Indian firms, evaluating financial stability, growth, and risks; utilized comparative analysis for investment selection.- Built financial models in Excel, examining financial statements for company evaluations.- Completed their fundamental and technical analysis course; proficient in Bloomberg Terminal and Python for financial analysis.- Prepared and presented equity research reports to senior analysts, aiding in investment decisions.