● Delivered Model Risk Management Dashboards to track model performance post-deployment for a lending client.● Developed code templates to automate the underwriting process for incoming Auto Loan applications. Reduced the time taken to process applications by half.● Built AI-based time-series forecasting models to forecast inventory requirements for a retail client. Used various approaches of AI Long short-term memory (LSTM), Spline regression, ARIMA, Holt-Winter, and multi-dimensional macroeconomic models. Reduced RMSE by 30%.● Working on developing a deep learning solution for a retail client to determine the composition of products using images. Used algorithms such as Convolutional Neural Network and Masked RCNN. Achieved an overall accuracy of 80%.

● Automated the task of Exploratory Data Analysis by writing a Python Script to perform analysis on any given dataset. Reduced project time to completion for future projects by 10%.● Automated the task of data processing by performing Exclusion Analysis by preparing a SQL template to work for any type of incoming data.● Developed front-end forms for clients to get user-input and run Machine Learning models for the client using JavaScript.● Delivered Tableau dashboards to generate payroll services for a retail client using login and logout data from IOT sensors.

● Teaching assistant for MIS 710 Process Innovation and Management under Professor Wayne Huang.● Clearing the course related doubts and issues faced by students.● Increased work efficiency by working with other TAs to enhance faster grading of assignments and quizzes.

● Analyzed over 30 research papers and data sources to gather data on the spread of Parkinson’s Disease.● Visualized various trends in the spread of Parkinson’s Disease across the Globe using Tableau.● Determined various factors directly or indirectly affecting the disease.