Data Science Intern | Google Developer Program Member
Iβm a passionate Data Science Intern who thrives on solving real-world problems with data. With hands-on experience in Python, SQL, Excel, Power BI, and Natural Language Processing (NLP), I turn complex datasets into meaningful insights that support smarter business decisions.
As part of the Google Developer Program, I stay actively involved in exploring the latest trends in AI and machine learning. From building recommendation systems to automating analytics workflows, I enjoy creating impactful solutions that are both technically sound and user-friendly.
AI-powered document manager for converting, tagging, and commenting PDFs. Built with Flask and styled using TailwindCSS.
Tech: Flask, TailwindCSS, Python
Real-time fire detection system using YOLOv8 and OpenCV to detect and highlight fire in video streams.
Tech: Python, YOLOv8, OpenCV, Streamlit
Movie recommendation system that fetches similar titles using content-based filtering and TMDb API visuals.
Tech: Python, Streamlit, Pandas, TMDb API, Scikit-learn
Calculates relativistic mass and time dilation using Einsteinβs theory. Great for learning physics and space science.
Tech: Python, Special Relativity, Physics
A Streamlit tool using a Random Forest classifier to predict tumor types, with an intuitive UI for medical decision support.
Tech: Python, Streamlit, Machine Learning
Or email me directly at azadbhasmejb@gmail.com