Harish Mani

Vice President, Data Engineering @JPMorganChase

I am currently working with J.P. Morgan Chase & Co. as Vice President: Data Engineering since 05/2021 and I have served as Senior Associate: Data Scientist from 01/2021 till 04/2021. As part of my role, I have been collaborating with software engineers, data scientists, product managers, production support, and business stakeholders to develop new and upgrade existing products for clients. I also have designed and developed data products for various lines of businesses with key drivers being compliant with regulatory requirements, budgetary guidelines, and risk mitigation. I oversee and perform design, build, deployment, maintenance, and improvement of ML models to increase performance and features of data products on existing and emerging platforms. Some of my key accomplishments include:~ Developed and delivered clustering algorithm to analyze production data on different Wholesale Payments transactions received and identify optimal set of payments data and transactions for functional, regression, and other test validations.~ Leveraged graphical and network approaches in Global Trade Finance business area to identify relationships between all buyers, suppliers, investors, and participants entities and gain insights on entities and relationships utilizing network algorithms, enabling change delivery teams to identify right test data for validations of different test scenarios as part of functional/regression test validations.~ Won LOB level Quarterly Excellence award for delivering deep learning-based Artificial Neural Network machine learning model to predict EOD cash balances in different client accounts to support NOSTRO funding projections by Treasury. This included identification of accounts with activities that deviate from regular patterns.~ Designed ARIMA Time Series Forecasting ML model to predict number of “Tax Reclaims Not Filed” to provide early warnings for tax reporting process and meet regulatory deadlines and client deliverables.