Shreyasree G

About Shreyasree G

I build data-driven products at the intersection of biotechnology and machine learning, turning complex biological data into tools and insights that can actually be used.What I do best is take ambiguous, research-heavy problems and shape them into structured ML workflows: defining the right inputs, choosing pragmatic modeling approaches, and validating outputs against real biological and business constraints. I’ve learned that good ML products aren’t about the fanciest models; they’re about clarity, reproducibility, and decision-making impact.Along the way, I’ve picked up a few core lessons- Start with the question, not the model- Design features that reflect domain reality, not just statistical convenience- Treat validation as a product requirement, not a research afterthought- Build pipelines that others can understand, reuse, and scaleSome concrete proof of work- Designed and implemented end-to-end ML pipelines for mutation risk prediction and ligand screening- Applied clustering, descriptor-based similarity, and deep learning to datasets spanning hundreds to tens of thousands of biological entities- Translated research outputs into clean, explainable frameworks suitable for downstream use and publication- Balanced delivery across academics, certifications, hackathons, and a research-focused internship at a reputed institute, while maintaining a 9.25 CGPARight now, I’m focused on roles and projects where ML meets real-world biological decision-making: whether that’s in computational drug discovery, bioinformatics platforms, or applied ML teams working on life-science products.If you want to talk about building ML products in biotech, translating research into usable systems, or interdisciplinary tech careers, feel free to reach out.

Experience

1. Research Intern

   Iiser Bhopal

   Dec 2025 — Present · Bhopal, IN

Education

• Dayananda Sagar College of Engineering, BANGALORE

  Bachelors of Engineering , Biotechnology

• The Oxford Senior Secondary School

  Class 12, Physics, Mathematics, Chemistry, Computer Science

• The Oxford Senior Secondary School

  Class 10