Ravi Kumar Mudadla
Data Analyst @BNY
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WORK HISTORY
Data Analyst @BNY
TX, US
Imported and analyzed financial customer datasets using Python and pandas, processing up to records to identify actionable trends and patterns, enabling data-driven financial strategies and business decisions.• Managed large-scale financial databases using SQL, ensuring data accuracy and consistency critical for forecasting, compliance reporting, and generating customer insights.• Conducted data cleansing and advanced data mining techniques to identify financial trends, enhance data reliability, and deliver insights into customer behavior and profitability.• Optimized MySQL database schemas for handling high-volume financial transactions, boosting query performance, and facilitating faster, more efficient analysis of key financial metrics.• Developed advanced financial reports and dashboards using MS Excel (pivot tables, graphs, and charts), and crafted professional PowerPoint presentations, delivering critical insights to stakeholders.
EDUCATION
Lovely Professional University
Bachelor of Technology - BTech, Computer Science
University of Illinois Springfield
Master of Science - MS, Computer Science
ABOUT RAVI KUMAR MUDADLA
I\'m Ravi Kumar, a Data Analyst with 4+ years of experience transforming complex datasets into actionable insights. With a background at BNY Mellon, Epsilon, and Adani, I specialize in Python analytics, SQL optimization, and data visualization. My work bridges the gap between raw data and strategic business decisions, whether it’s enhancing financial forecasting, optimizing marketing strategies, or improving energy operations.At BNY Mellon, I analyzed over financial records to identify trends, boosting strategy accuracy by 20%. During my time at Epsilon, I automated data processes using Python, reducing manual errors by 30% and ensuring GDPR compliance. At Adani, I built pricing models that increased quarterly revenue by $ 120 K. I’ve also designed 50+ interactive dashboards (in Tableau and Power BI) that reduced reporting time by 30% across teams.I hold an M.S. in Computer Science (University of Illinois Springfield) and a B.Tech in CSE, along with certifications in Google Data Analytics, Power BI, and IBM Data Analyst. My technical toolkit includes Python (Pandas, Scikit-learn), SQL, ETL pipelines, and A/B testing.What excites me most is solving real-world challenges with data. Whether mentoring aspiring analysts, contributing to open-source projects, or exploring machine learning applications, I’m always looking for ways to push the envelope. My goal? To help organizations unlock the full potential of their data.
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