About Me
I am Abhishek Kumar, currently learning Data Science to enhance my analytical and machine learning skills. I have completed my Master’s in Mathematics, which gives me a strong foundation in problem-solving, statistics, and logical thinking. My passion lies in working with data, uncovering insights, and building intelligent solutions. I am eager to explore the fields of data analysis, machine learning, and AI to solve real-world challenges.
SKILLS
Education
Master of Science (M.Sc.) in Mathematics
I am currently pursuing my Master’s degree in Mathematics from Mumbai University, focusing on advanced mathematics, statistics, and problem-solving, with applications in data science and programming.
Bachelor of Science (B.Sc.) in Mathematics
I have completed my Bachelor’s degree in Mathematics from Mumbai University, Built a strong foundation in algebra, calculus, and statistics, developing analytical thinking and logical reasoning for real-world problem-solving.
Experience
JAIS INFOTECH
Mumbai, IN
Co-Founder
Delivered web development, IT services, hardware repairs (laptops, printers, CPUs), basic networking setups, and software troubleshooting for individual and small business clients, while also managing company finances and marketing.
Home Tutoring
Mumbai, IN
Teaching
I have experience teaching Mathematics and Science to SSC, HSC, and lower-level students, and my efforts consistently resulted in a 100% passing rate, with many students achieving significant grade improvements.
Service
Computer repair and mantainces
Repair all types of laptop and desktop. Fixing hardware and software issues, system optimization, and troubleshooting.
Basic Video Editing
Trimming, adding effects, transitions, and improving video quality.
Tutoring (Maths & Programming)
Teaching Mathematics and Science in a simple and effective way.
Project
Live Project
Github
- Collected and cleaned movie metadata from TMDB; performed preprocessing and exploratory analysis using NumPy, Pandas, Matplotlib
- Built a similarity-based recommendation model in scikit-learn (vectorization + similarity scoring) to rank top-5 results
- Exposed predictions via a FastAPI service with Pydantic schemas; containerized with Docker and deployed on Render
- Developed a lightweight HTML/CSS/JS frontend to query the API and display recommendations
What it does: Users enter a movie name and the app returns the top 5 similar movies
Live Project
Github
- Collected and cleaned movie metadata from TMDB; performed preprocessing and exploratory analysis using NumPy, Pandas, Matplotlib
- Built a similarity-based recommendation model in scikit-learn (vectorization + similarity scoring) to rank top-5 results
- Exposed predictions via a FastAPI service with Pydantic schemas; containerized with Docker and deployed on Render
- Developed a lightweight HTML/CSS/JS frontend to query the API and display recommendations
What it does: Users enter a movie name and the app returns the top 5 similar movies
Blogs
Blogs comming soon... :)
Contact
