A project aimed at improving the content and quality of data response, which are used by millions of users globally.

• Built project on Gait Analysis under the supervision of Dr. Dylan Kobsar (Assistant Professor, Dept. of Kinesiology, McMaster University• Worked on hospital wearable sensor data, streamlined the data according to the need, cleaned the data and prepared it to feed ML model which was built on Conv2D and BiLSTM layer. The model gave accuracy about 94.15%• Worked on creating end user report, GUI for front user to load data to the model, generate report and present research findings

• Worked as operational support to ensure the quality of revenue reporting by actioning various reports outlining unmapped accounts and/or clients within a one-day SLA.• Communicating with cross-functional teams within Capital Markets to correctly map trade data for revenue reporting.• Utilizing internal Capital Markets trade and client-focused applications to align data across various systems to ensure data integrity and compliant data.• Updating process documents to streamline internal team-based processes and simplify steps for future new hires.

• Worked with operations team on analyzing client requirements to provide suitable processing techniques• Performed tasks central to data processing and channeling, depending upon the business requirements• Development was undertaken with tech stack as Python, ApacheNifi, UiPath, using various libraries such as pandas, openpyxl, and xlrdwriter