Summary
Hemant Rattey is a data scientist with a decade of experience and a recent M.S. in Data Science from RIT, where he focused on computational approaches for social good. He combines a solid Computer Science and Engineering background with hands-on expertise in Python, SQL, Tableau, and ML frameworks like Scikit-learn, PyTorch, and TensorFlow to build scalable models and actionable analytics. His research applied NLP and toxicity detection to understand public discourse, demonstrating an ability to translate societal questions into rigorous machine learning solutions. Skilled in data cleaning, feature engineering, and statistical modeling, Hemant excels at uncovering insights from large, real-world datasets and delivering ethically minded outcomes. Based in Rochester, NY, he brings both academic rigor (3.97 GPA) and practical fluency as a data analyst and enthusiast ready to tackle impactful problems.
10 years of coding experience
3.97, 3.97 at Rochester Institute of Technology
English, Hindi