Headline

Data Analysis | Python | Statistics | Data Science | Machine Learning | Bioinformatics

About

Aspiring Data Scientist with strong interests in Machine Learning and Bioinformatics, focused on solving real-world problems across multiple domains using data-driven approaches. Skilled in Python, statistics, data analysis, machine learning, deep learning, NLP, and LLMs, with hands-on experience working on structured and unstructured datasets from both biological and real-world applications such as healthcare, finance, and automation. I enjoy applying advanced ML techniques to diverse problem spaces from bioinformatics and deep biology to general predictive modeling and AI-driven automation. Actively building a project-driven portfolio and seeking opportunities to grow and contribute in data science and bioinformatics roles.

Location

Bengaluru

Work experience

GRAPHRX - Graph Neural Network Pipeline for Multi-Receptor Drug Candidate Screening at Department of Bioinformatics - Pondicherry University, Feb 2026 - May 2026 · 4 mos, Puducherry, India, I am building a drug discovery pipeline where I am applying both classical ML: clustering and association mining to find patterns and deep learning, specifically Graph Neural Networks for molecular property prediction. The project screened 2500+ FDA-approved drug compounds to identify final drug candidates using a 6-stage filtering cascade.

Intern at CodSoft, May 2025 - May 2025 · 1 mo, Remote, Data Science Intern Codsoft | Remote | [May, 2025 Completed a 4-week virtual internship focused on data analysis, visualization, and machine learning using Python. Gained practical experience through hands-on projects with real-world datasets.

Education

MSc. Bioinformatics, Biomathematics, Bioinformatics, and Computational Biology, Pondicherry University

BSC(HONS) BIOTECHNOLOGY, Biotechnology, Guru Ghasidas University