Kanav Goyal
@kanavgoyal
Corporate Analyst at J.P. Morgan Chase & Co.
Chandigarh, India
Kanav Goyal is an experienced analyst skilled in hyper-automation and data science. He has expertise in developing end-to-end workflows using platforms like UiPath and Xceptor, significantly reducing manual effort. His background includes building predictive models for error forecasting and developing AI chatbots using Rasa. He is proficient in Python, SQL, and various machine learning techniques.
Experience
Corporate Analyst (CADP)
J.P. Morgan Chase & Co.
Created end-to-end hyper-automation workflows and bots using Platforms like UiPath and Xceptor. The bots are capable enough to independently monitor the mailboxes, pickup relevant files, apply business transformations and send them to the upstream teams. This helped in reduction of manual efforts by up to 2 hours/FTE/day.
Data Science Intern
Aokdale
Created a Rasa based Ai Chatbot for Educational Institutes. It could identify 20+ user intents inform of student queries. It could make API calls and edit MongoDB databases, to change student related details in institute’s database and to schedule tests based on free slots available at a test center.
Corporate Analyst Development Program Intern
J.P. Morgan Chase & Co.
Analyzed error log data for Asset & Wealth Management and created predictive models to forecast the errors with more than 70% accuracy using Python 3. Found correlations among variables using statistical tests. Visualized seat utilization for 110 offices across Asset and Wealth Management Division and prepared a dashboard of seat utilization. This helped in huge reduction of seat misallocation.
Education
Punjab Engineering College
Bachelor’s in technology
Mechanical Engineering
CBSE Bhavan Vidyalaya
Senior Secondary
CBSE Bhavan Vidyalaya
Secondary
Licenses & Certifications
Certificate of Appreciation
Dean Student Affair, PEC