Shrimayee Sadhya

I’m a data analyst and AI/ML developer with a strong foundation in data analysis, artificial intelligence, machine learning, and software development. I’m proficient in Python and SQL, and I translate messy data into insights that help teams make better decisions.

Through internships and academic projects, I’ve worked on predictive modeling, automation, and ETL-style concepts—building models, cleaning data, and validating results. In an AI Developer Intern role, I built NLP models using Python and scikit-learn and improved accuracy by 23%.

I also focus on production-ready thinking: I designed REST APIs and load-tested them for 500+ concurrent requests, and I automated workflows with Python pipelines, reducing manual effort by 37%. I’ve also deployed distributed storage for real-time operations data to support scalable handling of live datasets.

I deliver insights clearly through data visualization using Power BI and Tableau, and I enjoy tackling complex problems end-to-end—from feature engineering and model evaluation to communication of results. Outside project work, I stay sharp by solving 200+ problems on LeetCode/HackerRank and I’m committed to continuous learning through data-focused certifications.