About Me

Data Scientist at Meesho and post-graduate from the Indian Institute of Science (IISc) with expertise in Computational Biology and AI solutions. Skilled in deep learning and natural language processing with a proven track record of delivering impactful industrial projects and academic publications.

Contact Details

Email: ksrmanikumar@gmail.com
Phone: +91-9480225156
LinkedIn: linkedin.com/in/manikumar-ksr
GitHub: github.com/Manikumarksr

Indian Institute of Science

BS-MS (Research) — CGPA: 7.7/10  |  2020 – 2025  |  Bangalore, India
Key Courses: Probability and Statistics, Machine Learning for Data Science, Linear Algebra, Deep Learning, Generative AI, Computational Epidemiology

Blooms Pre-University College

Pre-University Education — 96.7%  |  2018 – 2020  |  Bagepalli, India
Key Subjects: Physics, Chemistry, Mathematics, Biology, English

Meesho — Data Scientist (Ranking Team)

May 2025 – Present  |  Bengaluru, India

• Developed and optimized a deep learning prepaid ranker using the FT-Transformer architecture to increase the share of prepaid orders on the platform.
• Engineered complex features and processed large-scale datasets for ranker training, contributing to improved model accuracy and relevance.
• Achieved a significant platform impact with an Obyv (Orders by Views) increase of +0.6%.

Fujitsu Research of India Pvt. Ltd. — AI/ML Research Intern

May 2024 – Aug 2024  |  Bengaluru, India

• Conducted a survey on the explainability of time series forecasting models.
• Developed explainable AI models for time series forecasting, reducing MSE to 0.25.
• Built and deployed scalable, real-time dashboards to monitor model insights using Streamlit.

Nanyang Technological University — Research Intern, Mutwil Lab

Aug 2023 – Dec 2023  |  Singapore

• Spearheaded a project on GPT-based gene function retrieval from 85,000 scientific articles, creating a yeast knowledge graph at yeast.connectome.tools.
• Leveraged OpenAI APIs and NLP to automate large-scale biological data integration.

• Kishore Vaigyanik Protsahan Yojana (KVPY) Fellow — 2020 – 2025
• NTU-India Connect Fellow — Aug 2023 – Dec 2023
• Winner: TATA Building India Essay Competition — 2017
• District-level Winner: Scientific Model on Natural Resource Management — 2016