Machine Learning Engineer • Data Enthusiast • Sports Fan
October 2023 - Present
Worked on developing a model to detect, aggregate, and record the amount of unique hand signs for a gesture-based computer vision polling system.
June 2024 - August 2024
Worked on a Deal Optimization project for increased quote pricing outcomes through the use of machine learning models and data analysis to improve the turnaround time and win rate of deals.
October 2023 - May 2024
Organized biweekly workshops for students about data science skills (R, SQL, MatPlotLib), and led a team of 3 leads to startup their resepective workshops
Novemeber 2023 - January 2024
Researched and recommended algorithms for a proprietary stock detection and prediction program.
Novemeber 2023 - January 2024
Developed two chatbot workflow with Botpress and HTML to answer customer questions with GPT-turbo API, increasing user retention by 40%
September 2023 - September 2023
Demonstrated sentiment analysis and other machine learning techniques to speed up data collection and analysis for the company.
The scope of the project was quite huge, but Aditya had an unwavering determination to take the project to completion. One of the comments he received was that it usually takes a team almost a year to build what Aditya could do on his own in 2 months—which speaks volumes about his abilities, drive, and passion.”
Showcased AI/ML insights for product adoption and price recommendations to C-level executives.
Co-authored a peer-reviewed paper on generative AI capabilities in stock applications.
Created data-driven models for predictive analysis and decision-making.
Led development of an interactive game using Lua for a large-scale gaming platform.
Advised small businesses on AI integrations to drive efficiency and reduce costs.
Contributed to a popular open-source sports API repository through GitHub.