Mani Penmathsa

Data Engineer

Vanguard

• Architecting an AI-powered MCP server for enterprise SQL optimization via natural language, projected to cut manual query-development time by 30%+. Built and optimized production ETL pipelines on AWS Glue, cutting operational costs by ~40%.
• Delivered reusable data blocks powering a hyperPersonalization ML model and Tableau dashboards for the Complaints Analytics team, driving measurable gains in client revenue and experience.

Senior Data Specialist

Vanguard

• Architected a centralized Tableau Hub integrating client behavioral, financial (AUM), and multi-channel data — adopted org-wide, dramatically reducing time-to-insight for analysts.
• Delivered NPS/CSAT deep-dives and time-series analyses to senior leadership, directly informing CX improvement roadmaps.

Data Scientist

Bank of America

• Built an ML NLP model to classify Zelle payment memo lines for risk modeling, and automated data quality breach-reporting pipelines in Python integrated with Tableau.
• Engineered the Client Financial Health Analytics dashboard used across Risk Analytics teams to analyze and predict consumer risk at scale.

Financial Data Analyst

Wells Fargo

• Automated data loading for financial forecasting models (RLAP/RLEN) via Python and SQL, eliminating manual processes and improving accuracy.
• Led Tableau adoption across the analytics team significantly improving reporting speed and operational compliance.

Master of Science — Data Science & Business Analytics

University of North Carolina at Charlotte (UNCC)

Bachelor of Science — Electrical Engineering

Illinois Institute of Technology, Chicago