Headline

Technical Data Product Manager| IIM Alumni |AI Requirement Engineer| Asset Management Data Products | Data Quality

About

Team is working with multiple technical streams within Asset Management for AMDF+ program covering Digital Core services, Managing Funds, Managing Investments etc. for their Modern Data Stack implementation. AI & Data Product Analyst | Asset Management Data Platforms | Databricks | Financial Data & Analytics | Product Management (IIM Ranchi) During previous experience in LTI's Quality Assurance team which specializes in automating complex workflows for Nordea Investment Banking, leveraging over three years of expertise in Robot Framework, Python, and Kafka. These efforts have transformed manual testing processes into efficient, end-to-end automated systems, ensuring seamless validation of capital market products and optimizing workflows for finance solutions. Contributions include automating Kafka streaming data validation and building adaptable frameworks for future scalability. Previous experience at Kirkland & Ellis LLP involved automating web tools for finance operations, replacing manual reporting with comprehensive solutions like the Comp tool. This role emphasized collaboration in QA processes, including front-end, API, and database testing to enhance accuracy in salary and bonus calculations. Passionate about streamlining operations with cutting-edge automation, the work consistently delivers impactful results for stakeholders.

Location

Pune District

Work experience

Technical Data Product Manager at UBS, May 2025 - Present · 1 y 5 mo, On-site, Team is working with multiple technical streams within Asset Management for AMDF+ program covering Digital Core services, Managing Funds, Managing Investments etc. for their Modern Data Stack implementation.

Project Manager at Confidential, Apr 2025 - Present · 1 yr 7 mos, Created 4 successful products for Asset Management. Guided 5 different domain teams for successful product building. Introduced model performance metrics (precision, recall, drift, bias) into product KPIs. Delivered AI products used by Asset Management & Risk teams , reducing manual analysis by 40%+ .

Specialist at LTIMindtree, Apr 2022 - Mar 2025 · 3 yrs, Product owner for enterprise data & ML platforms built on Kafka, Spark, Snowflake, and Databricks . Designed real-time and batch data pipelines for ML training and analytics use cases. Worked with ML engineers to deploy models using PySpark, MLflow, and REST-based inference services .

Specialist Products Data at LTI - Larsen & Toubro Infotech, Mar 2022 - Apr 2025 · 3 yrs 2 mos, Pune District, Maharashtra, India, Business Client: Nordea Investment Banking Robot Framework Automation using Python for Kafka Streaming TDWS KAFKA TESTING AUTOMATION: Nordea Capital markets products testing is automated end to end. Nordea offers a range of financing, cash management and payment services, as well as investment banking and capital markets solutions, to optimize daily services. ‎Manual Testing team used developers’ job/tool to get kafka streaming data in oracle tables to do the data validation and etl testing. We have no access to create test data in CLI topics. Now the complete flow is automated using robot framework and python,  Complete automation of test flow.  Full Stack QA for finance products created for capital markets.  Writer parser for parsing XML and storing into database  End to End testing of products along with business requirement gathering and Scrum management using Agile process and Jira board.  Complete automation of test flow.  Full Stack QA for finance products created for capital markets.  Writer parser for parsing XML and storing into database  End to End testing of products along with business requirement gathering and Scrum management using Agile process and Jira board.  Complete automation of test flow.  Full Stack QA for finance products created for capital markets.  Writer parser for parsing XML and storing into database  End to End testing of products along with business requirement gathering and Scrum management using Agile process and Jira board. Robotframework, python, oracle, kafka libraries. Got client and manager appreciation for successfully automation of project testing. Built a framework that can work for future products with minimum changes. POC for oracle to snowflake migration.

Associate Consultant product data at AArete, May 2020 - Mar 2022 · 1 yr 11 mos, Pune Division, Maharashtra, India, Business Client: KIRKLAND & ELLIS FINANCE TEAM Kirkland & Ellis LLP is an American law firm. Founded in 1909 in Chicago, Illinois, Kirkland & Ellis is the largest law firm in the world by revenue, the seventh largest by number of attorneys, and is the first law firm in the world to reach US$4 billion in revenue. Finance team of Kirkland & Ellis used manual excel sheets to get various reports calculated to present to business. Comp tool provided a complete automated solution for all reports with additional facility of downloading in Pdf and excel formats of the reports.  Business Analyst, Complete automation of Web tool.  Full Stack QA for finance Tool created for Law Company. Attorney’s salary, bonus calculations and reports generated were tested end to end, front end, API, and database testing.  End to End testing of finance tool along with business requirement gathering and Scrum management using Agile process and Azure platform. ETL consultant, currently working as QA for Web Applications with Reporting Functionalities.

Education

Postgraduate Degree, Product management, Indian Institute of Management, Ranchi

Master of Engineering (MEng), Computer Science, Walchand Institute of Technology, Solapur