2023-2023

Data Scientist at Truist Bank

As Data scientist in Truist, formulated and evaluated predictive models using DataRobot, to understand employee attrition and provide data driven Insights to reduce retention challenges.

2022-2023

Graduate Research Assistant at Georgia State University

Collaborated on a project with Truist Bank to develop predictive models for recommendation systems based on graph data to market future retail or commercial products to the customer. Worked on a project with South East Regional Cooperative applying statistical analysis using Python and SQL to identify anomalous data and built Tableau dashboards for KPI’s that potentially let to a 5% increase in revenue.

2018-2018

Summer Research fellow at National Atmospheric Research Laboratory, India

Calculated distribution of error in weather forecast models using Bayesian statistical techniques, audited the current model and improved accuracy of numerical weather prediction models from 34% to 87%. Proposed and developed models to identify and eliminate errors in weather forecast data pertaining to temperature, pressure, wind speed and relative humidity from automatic weather stations in India.

2016-2016

Summer Research fellow at Indian Statistical Institute

Worked on statistical analysis of Electroencephalography data using R. Analyzed 1000+ records of EEG data collected for two different scenarios of an individual. Formulated 5 functions in R to calculate summary measures- arithmetic mean, median, mode, variance, and range.

2024 - Present

Data Scientist at Random Trees LLC

Developed a PyTorch implementation of VQA models using text and image transformers from Hugging face and compared various text-image encoder combinations. Conducts research and development on Visual language models like Groundlight AI and their tailored usecases in various domains.