Harivardhana Naga Naidu Polireddi Email & Phone Number

San Jose, California, United States

• Designed and implemented a data pipeline that improved anomaly detection accuracy by 30%, using Python (pandas, numpy) to process and analyze over 1.6 million data points for identifying critical anomalies. • Developed and optimized the RESU database, integrating SQL with Oracle APEX, reducing query response time by 40% and enhancing data scalability for storing and retrieving anomaly detection results. • Enhanced user accessibility by building a Python-based front-end interface, allowing real-time data querying for over 10,000 records, improving anomaly reporting efficiency by 25%. • Created detailed documentation and a User Guide, improving end-user adoption by 20%, and ensuring seamless handover of backend SQL integration, Oracle APEX workflows, and Python front-end operations.

5750 Almaden Expressway, San Jose Ca 95118

• Designed and implemented data pipelines for real-time anomaly detection, leveraging Python scripts to audit and integrate data from edge devices, identifying and resolving critical discrepancies, and boosting data reliability by 40%. • Developed proof of concept machine learning models for predictive maintenance and data optimization, integrating sensor data into cloud platforms for enhanced visualization and decision-making. • Collaborated with cross-functional teams, including Operations and IT, to refine data management strategies. Acquired technical skills in edge computing, containerization, and data analysis, contributing to the development of a comprehensive, scalable data solution for industrial IoT applications.

Chennai, Tamil Nadu, India

• Created and visualized Tableau analytical reports and dashboards, aiding in trend detection and pattern analysis for businesses, that effectively boosted productivity by 12.5% through upgraded decision-making processes.• Combined with senior-level executives on a mortgage automation project, facilitating data extraction from documents to an integrated content management system which resulted in faster funding decisions by approximately 4 hours.• Led and regularly updated dashboards for tracking mortgage files received from clients. Budgeted customer demographics and funding requests to prioritize funding, resulting in a 20% increase in profitability.• Performed exploratory data analysis using SQL and Python to identify trends and patterns in large datasets. Implemented data marts, designed partitions, aggregations, and KPIs, resulting in a 30% performance improvement.

Chennai, Tamil Nadu, India

• Deployed Excel and Power BI to prepare and visualize data for decision-makers in consistent and timely preparation of Closing Disclosure and Loan Estimate documents for US-based clients, meeting or exceeding set 100% ETAs.• Collaborated with funding review team and constructed meaningful checklist to ensure all tasks were being reviewed during funding decision using Microsoft Excel improved yield by 25%.

Master'S Degree, Data Analytics, A

Bachelor Of Technology, Electronics And Communications Engineering, A