Kiran Kanapadinjaru

A financial performance analysis platform for the bank's corporate strategy and investor relations team. The Peer Analytics application collects public financial information from investor relations websites of Bank of America and its competitor financial services companies and builds insightful visualizations for users. The platform included a data processing pipeline written in Python responsible for web scraping, data extraction from PDF and excel files, and data normalization. The AutoSys scheduler orchestrated the pipeline steps. An ASP.NET Core, Angular, and D3.js charts-based web dashboard provided custom visualizations of the financial data.

A web-based application developed for the electronic trading team of the Bank of America. The Xenon application helps the client onboarding team set up the trading preferences, trading algorithm configurations, and risk parameters of the bank's electronic trading clients. The application provides a user workflow for configuration management, including publishing and rollback features. The configurations are then pushed to the trading engines using a topic-based pub-sub infrastructure called AMPS.

A highly scalable message broadcast platform for Bank of America's investment banking team. This platform moved large-scale banking alert data from database sources to user Interface applications where bankers could view them and proactively take actions by connecting with the clients. The application was built with Python and Apache Kafka and had a data pipeline to ingest, enrich, transform, and broadcast alerts across multiple communication channels, including UI applications and emails.