Data Scientist & AI Engineer
BuildingISolutions for Tomorrow
Transforming complex data into actionable insights and deploying state-of-the-art AI models.
About Me

Hi, I am Subhadip Hensh, an aspiring Data Scientist and AI Engineer with a strong foundation in mathematics and computer science. I am a fresher who has built skills through formal education, structured training, and extensive hands-on project work.
Earlier in my academic journey, I explored Full Stack Development but realized that application development was not aligned with my interest in analytical thinking. Mathematics had always been my strongest subject. This changed during my MSc, when I was introduced to Data Science and observed how strongly the field relies on mathematical reasoning and statistics. That realization motivated me to consciously choose Data Science and Artificial Intelligence as my career path.
I hold a BSc in Computer Science from Bankura Sammilani College (2019–2022) and an MSc in Computer and System Sciences from Visva-Bharati University (2022–2024). I have also completed advanced training in Data Science and AI with IIT Roorkee and Microsoft. Currently, I am focused on strengthening my expertise through continuous learning and hands-on experimentation, with a strong desire to grow in a professional environment.
Tech Stack
Tools and technologies I use to build intelligent systems.
Featured Projects
A selection of my work in Data Science and AI.

ResearchPilot: Production RAG System
End-to-end RAG pipeline ingesting 3,500+ ArXiv papers into 300k+ semantic chunks using BGE embeddings. Features hybrid BM25/Dense retrieval with Reciprocal Rank Fusion and two-stage cross-encoder re-ranking.

FruitnetSH: Neural Plant Diagnostics
Advanced Pomegranate Pathogen Detection utilizing neural network classification and client-side TensorFlow.js inference. Detects Alternaria, Anthracnose, Bacterial Blight, and Cercospora with sub-second latency.

Fashion MNIST Magic Blackboard
A digital 'Magic Blackboard' for real-time fashion item classification. Built with TensorFlow.js, it uses CNN and FNN models to identify 10 types of hand-drawn apparel directly in the browser.
Certifications & Credentials
Detailed verification of my technical expertise and professional growth.
Advanced Certification in Data Science and AI
IIT Roorkee (iHUB DivyaSampark) • 2025-26
View CredentialPractical Experience
A showcase of hands-on expertise through end-to-end Data Science and AI projects.
Independent Project Lead
Data Science Capstone Developer
Computer Vision Project Lead
AI Systems Architect
Get In Touch
Interested in collaborating or finding out more? Let's connect.
Let's Talk
I'm open to freelance opportunities and full-time roles. If you have any questions or just want to say hi, feel free to reach out!