Summary
Kalpita Dapkekar is a Senior Data Scientist based in Albany, NY with five years of experience combining academic rigor—she holds a 4.0 MS in Data Science—with hands-on production work in NLP, ML, and data engineering. She has delivered end-to-end solutions from model development to deployment at organizations including Walgreens and AT&T, and has led small teams to improve NLP pipelines and extract structured data from PDFs using AWS and Python. Her background spans classical ML (SVMs, Naïve Bayes), deep work in NLP, SQL/NoSQL, and visualization tooling like Tableau, and she has practical web and CMS experience (Drupal, HTML/CSS/JS) that helps bridge data science and product needs. Notably, she built a multimodal depression-detection web app combining speech recognition, image processing, and survey data achieving an overall 86% accuracy—an example of her ability to integrate disparate data sources into usable products.
5 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, 70%, Bachelor's degree, Computer Science, 70% at Sinhgad College of Engineering
Master's degree, Data Science, 4.0/4.0, Master's degree, Data Science, 4.0/4.0 at University at Albany, SUNY