I'm Samarth Mule.

As a Research Intern, I am working on the problem statement “Metadata Preprocessing and Feature Engineering for Diabetic Retinopathy Risk Scoring” using the OLIVES dataset. My role involves cleaning and standardizing clinical metadata, engineering features such as age groups, blood sugar levels, and visual acuity, and identifying key predictors for DR risk. I’ve built a preprocessing pipeline and implemented baseline models like logistic regression and random forest to validate the effectiveness of the features. The goal is to develop an interpretable risk scoring framework that supports early diagnosis using metadata alone.

Led the coordination of 10+ technical events and 5+ workshops on campus, handling logistics, promotion, and participant engagement. Successfully managed large-scale events including CODIGO (200+ participants), Technical Tuesday (100+), Query Quest and Poster Presentation (250+), and Break;Through (50+).

I am currently pursuing my undergraduate studies at Pimpri Chinchwad College of Engineering Pune, a reputed institute known for its focus on technical education and innovation. The college offers a strong curriculum in engineering and technology, supported by experienced faculty and modern infrastructure. It encourages hands-on learning through projects, workshops, and industrial training. I’ve had the opportunity to lead and participate in various technical events, enhancing both my leadership and technical skills. The collaborative environment and exposure to real-world challenges have helped me grow as a problem solver. My time here has laid a strong foundation for my career in data science and machine learning.

• Python
• SQL
• Excel
• Tableau
• PowerBI
• ML
• Statistics
• R