Ashay Katre

FALL 2025 CIS 5500 - Database and Information Systems MSSP 6300 SPRING 2025 STAT 4770 - Introduction to Python for Data Science at Wharton Business School FALL 2024 MSSP 6300 Lab Instructor for R/ Rstudio- Quantitative Methods for Social Policy

Technology Summer Associate in Platform Reliability and Engineering Management Group in the Information Technology BU within the Corporate Division

Working as a Technical Lead for Wharton AI Accelerator for the Automation Project by RxSense

• Led the migration of multiple modules from a monolithic architecture to microservices, transitioning from Apache Struts to Spring Boot for the UAL Rewrite Project. Ensured smooth functionality and adherence to industry standards by writing over 200 JUnit and functional test cases for complete code coverage. • Pioneered the adoption of AI-generated test cases using DiffBlue AI, enhancing test efficiency and quality while integrating manual and automated testing approaches. • Spearheaded the integration of Matomo Analytics as the standard web analytics platform across Citi, driving data-driven insights and optimizing UX performance measurement. Onboarded over 50 client teams, serving as the sole POC for queries, onboarding, and platform demonstrations. • Managed the server-side setup and administration for on-premise hosting of the Matomo Analytics platform, ensuring secure and reliable deployment. • Conducted in-depth research on messaging gateways, including Kafka, Solace, and Tibco EMS, and explored Spring Security and authentication gateways for the Databridge Project.

• Designed and implemented a Publisher service for OpsPortal using JMS and Spring Integration, optimizing message delivery systems and serving as a common messaging interface with Tibco EMS & Kafka • Integrated multiple services ensuring seamless BAU functionality and enhancing automated message delivery with efficient XML payload handling • Developed backend endpoints for a tableau template service using Hibernate and Spring Data JPA, enabling robust data access and manipulation • Implemented export functionality & data subscription service facilitating efficient data reporting • Developed SLA compliance and operationalized automated email notifications for the scheduling service, ensuring timely alerts

• Worked on a Big Data use case for customer segmentation for Targeted marketing based on Engagement using RFM Analysis of the purchasing behavior of the customer • Developed an end-to-end data pipeline for a 100TB multi-channel retail dataset, performing extraction, processing, and clustering using Snowflake, AWS Sagemaker, and S3. • Extensive research on Clustering Algorithms and compared performance to develop an optimal model. • Obtained 96% accuracy with K-means and DBScan clustering algorithms. • Utilized Python for data retrieval, batch processing, and optimization, ensuring efficient RAM utilization and cost-effective storage with Parquet files. • Aggregated processed data into Snowflake and generated actionable insights and reports using Tableau and PowerBI, presenting findings to leadership. • Underwent comprehensive training in Snowflake, PySpark, AWS, Azure, DevSecOps, and MLOps, enhancing technical proficiency in cloud-based technologies and secure machine learning operations.

Coursework - Software Systems Internet and Web Systems Database and Information Systems Computer and Network Security Natural Language Processing Statistics for Data Science Data and Analytics for Marketing Decisions Big Data Analysis Applied Machine Learning Advanced Topics in Databases

Obtained a perfect 10 GPA in all Computing courses:- • Data Structures • Algortihms • Object Oriented Programming • Computer Programming • Machine Learning • Operating Systems