Professional Overview
I am a biology and bioinformatics researcher transitioning into data science and AI. I have 4+ years of experience in pharmaceutical and biomedical research, where I designed experiments, analyzed complex biological datasets, and communicated results to cross‑functional teams. Recently, I have been focusing on Python-based data analysis and machine learning, working with tools such as PyTorch, NumPy, Pandas, and SQL to build and evaluate models. I enjoy turning messy, real-world data into clear insights and practical solutions. I am especially interested in using AI to improve healthcare and scientific decision-making, and I am eager to contribute as an entry-level data scientist or machine learning engineer in a collaborative, growth-oriented team.
Areas of Expertise
Data Science & Analytics
Extract business insights from raw data using statistical modelling, predictive analytics, A/B testing, and interactive dashboards.
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
