sayaan frah

I am a data analyst and data science professional with hands-on experience building data pipelines, exploratory analyses, machine learning models, and performance dashboards. I work effectively with structured and unstructured data to produce experimentation-driven insights that inform commercial decisions.

My internships and virtual simulations strengthened my skills in web scraping, predictive modeling, NLP, generative AI, and model evaluation using Python, SQL, PyTorch, and modern ML tooling. I have delivered end-to-end solutions from data collection and preprocessing to model training, evaluation, and deployment-focused thinking.

I focus on designing robust evaluation metrics, benchmarking systems, and feedback loops to improve model reasoning and adaptability, and I enjoy collaborating with engineering and research teams to translate experimental results into scalable, production-grade solutions.