CSE (Data Science) undergraduate from Kolkata — building at the intersection of algorithms, data, and intelligent systems.
I'm a CSE (Data Science) undergraduate from Kolkata with a deep passion for Data Structures & Algorithms, machine learning, and crafting software that solves real problems.
My primary language is Java, where I've built a strong foundation in OOP and algorithmic thinking. I complement this with Python for data science and ML workflows — working with NumPy, Pandas, Scikit-Learn, and TensorFlow.
Currently exploring Generative AI and NLP, and actively seeking internship opportunities where I can contribute, learn, and grow alongside a great team.
End-to-end data analysis and visualization on the IPL dataset. Extracted deep insights on player performance, team win rates, and match outcome patterns using Python's full data stack. Explored correlation matrices, trend lines, and predictive indicators across seasons.
AI-powered Machine Learning application that predicts an individual's mental health score based on lifestyle, behavioral, and personal factors. Built with Python and modern ML techniques, featuring an interactive interface for real-time predictions and data-driven insights.
Machine Learning-powered healthcare application that predicts the likelihood of heart disease based on patient medical information. Built using Scikit-Learn with an interactive Streamlit interface for real-time predictions, helping users gain quick health risk insights through AI.
Machine Learning-based regression application that predicts the selling price of used Ford cars using vehicle specifications such as model, year, transmission, mileage, fuel type, engine size, and tax. Built with Scikit-Learn and deployed with an interactive Streamlit interface for real-time price estimation.
An intelligent content-based movie recommendation system that suggests movies similar to a user's favorite choice using Machine Learning and Natural Language Processing (NLP). The system analyzes movie metadata and computes cosine similarity to deliver personalized recommendations through an interactive interface.
Data-driven analysis of the 2024 Indian General Elections with a focus on West Bengal constituencies. Includes vote share trends, party-wise breakdowns, winner margins, and visual storytelling through charts and maps.
Java-based insurance management application featuring policy creation, customer records, premium calculation, and claim processing — built with clean OOP architecture and modular design patterns.
A curated set of small Java programs covering core concepts — number systems, pattern printing, sorting algorithms, string manipulation, and beginner OOP exercises. Great reference for fundamentals and interview prep.
Active problem solver — DSA, algorithms, and data structures daily practice.
Practicing competitive programming, articles, and CS fundamentals.
All projects, contributions, and open-source work in one place.
I'm actively seeking internship opportunities in software engineering, data science, and ML. If you have an interesting problem or project, I'd love to hear from you.
pradhanrabisankar328@gmail.com