Janhavi Dattaram Keluskar
Computer Engineering graduate skilled in Python, Machine Learning, and SQL
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About
Motivated Computer Engineering graduate with knowledge of Python programming, SQL, data analysis, and machine learning. Familiar with developing Python applications, working with databases, data preprocessing, and building data-driven solutions. Currently pursuing Certified Data Science with AI & ML training, with an interest in software development, predictive analytics, and AI-powered applications. Eager to apply technical skills, learn new technologies, and contribute to real-world projects.
Skills
Projects
Scalable E-Commerce Platform
Jan 2026 – Jan 2026
Developing a scalable e-commerce platform with customer and seller modules using Python, Django, Django REST Framework, and PostgreSQL.
AI Chatbot using OpenAI API
Jan 2026 – Jan 2026
Developed an AI-powered chatbot using Python and the OpenAI API to generate intelligent, context-aware responses with a Flask-based user interface.
Real-time Seller Leaderboard
Jan 2026 – Jan 2026
Developed a leaderboard system to rank e-commerce sellers based on sales performance using Python, Django, Django REST Framework, PostgreSQL, Redis, and WebSockets.
Web Development
Academic Project · Jan 2022 – Jan 2023
Developed responsive web interfaces using HTML, CSS & JS, implemented server-side logic, routing, API integration, and database CRUD operations using GitHub for version control.
Education
Sindhudurag Shikshan Prasarak Mandal, College Of Engineering, Mumbai University
B.E., Computer Engineering
2023 – 2026
Government Polytechnic Malvan, Mumbai University
Diploma, Computer Engineering
2020 – 2023
Certifications & achievements
Python for Data Science
Certification
Machine Learning Certification
Certification
Data Science Certification
Certification
Data Science with AI/ML · Mindscript Institute, Pune
Jan 2026
Certification
Developed and deployed ML and DL models, performed EDA on banking datasets, engineered features, optimized models, and built end-to-end ML pipelines using Flask and Streamlit.