Shivaprasad Banda

Part time (12.5 hours per week) alongside MBA studies and data portfolio projects. Routing the full package flow through the Munich hub by label code.

Built and maintained risk dashboards and performance attribution reports in Excel, and automated watchlist monitoring to cut manual tracking. Produced daily research briefs that turned multi-source data (macro, technical, positioning) into concise, decision-ready outputs. Validated quantitative strategies by measuring performance and risk metrics before deployment.

Part time via Adecco at the Olching fulfilment centre. Device-directed picking and dispatch staging on high-volume morning shifts.

GPA 3.2/4.0 (Cum Laude). 96% grade average in core finance modules, top 5% of cohort. Coursework: Corporate Finance, IFRS, Quantitative Methods, Financial Modelling, Corporate Governance, Cost and Management Accounting. Master's thesis on UPI adoption (N = 163): OLS regression explaining 75.7% of variance, PCA, full analysis reproduced in Python. Awarded A-.

Government Degree College, Hyderabad. CGPA 8.68/10. Top 5% of class in advanced statistics: probability theory, inferential methods and data analysis.