Ajay Palankar
Austin,TX
Summary
Accomplished scientist with proven track record in data analysis and problem-solving. Developed innovative models that significantly improved decision-making processes. Highly collaborative team player, adaptable to dynamic project requirements, skilled in Python, R, and machine learning algorithms.
Overview
5
5
years of professional experience
Work History
Mid-Level Data Scientist
General Motors
02.2024 - Current
- Produced a growth/survival model which generates a 10-year long term forecast which will forecast how many engines/transmissions will be needed to be produced to keep with the vehicles which use the specific engines/transmissions.
- Generated ARIMA Based Time Series Vehicle Share Forecasts for an application called Short Term Sales Forecasting for various car segments monthly to help business partners understand the market trends of multiple car segments related to specific vehicles such as the Chevrolet Silverado and Chevrolet Equinox.
- Mentored newcomers onto the Short-Term Sales Forecasting project specifically by explaining how to generate the forecasts and what criteria the forecasts must satisfy.
Entry level Data Scientist
General Motors
06.2022 - 02.2024
- Created an Estimate Projections PowerBI dashboard for an application called Purchasing Analytics, an application expected to bring $90 million to GM, to help cost engineers decide how much a part such as a wheel or mirror should cost.
- Designed a Logistic Regression model which is used to simplify the negotiation process with suppliers, specifically by giving a cost engineer a yes/no recommendation as far as whether to accept a quote for the cost of a part such as a wheel from a supplier.
Data Science Intern
Empower Retirement
05.2021 - 08.2021
- Aggregated data using PROC SQL (SAS), connections to AWS redshift, and Google Analytics to build a dataset of account holders with total balance > $0 and cluster the account holders into distinct groups based on their similar attributes.
- Analyzed the relationships between the account holder’s activity to the account holder’s investment strategy using PROC HPCLUS (SAS) function, Excel data visualizations, and Excel math functions.
- Discovered that the total participants registered with a managed account investment strategy could bring in a total of expected $6.7 billion to the company.
Education
Master of Science - Computer Science
Georgia Institute of Technology
11.2025
Bachelor of Science - Data Science
University of Texas at Dallas
05.2022
Skills
- Python programming
- Machine learning
- SQL databases
- Statistical analysis
- SAS
- R
- A/B Testing
- Time Series
- Microsoft PowerBI
- Excel
Timeline
Mid-Level Data Scientist
General Motors
02.2024 - Current
Entry level Data Scientist
General Motors
06.2022 - 02.2024
Data Science Intern
Empower Retirement
05.2021 - 08.2021
Bachelor of Science - Data Science
University of Texas at Dallas
Master of Science - Computer Science
Georgia Institute of Technology