Anuj Chimanpure

About Me

Hello there !!

I’m a B.Tech Computer Engineering student at VACOE, Ahilyanagar, Maharashtra, India, with a strong interest in data-driven problem solving and software development. Recently completed a Data Science internship, gaining hands-on experience in applying analytical and programming skills to real-world problems.

I have practical experience with Python, SQL, object-oriented programming, DBMS, data structures, basic machine learning concepts, and web development. Alongside my academic journey, I actively work on projects and continuously upskill to strengthen my technical foundation.

Beyond academics, I’m a curious and creative individual. I enjoy photography, listening to music, exploring new places through traveling, and riding bikes. These interests help me stay creative, observant, and balanced qualities that reflect in my approach to problem-solving and teamwork.

I consider myself a continuous learner who thrives in collaborative environments and approaches every task with dedication and attention to detail.

Interests: Photography · Music · Traveling · Bikes

Skills

Programming Python, Java, C, C++
Data Analytics Data Cleaning, Pandas, NumPy, Exploratory Data Analysis (EDA)
Machine Learning Basic Machine Learning Concepts
Web Development HTML, CSS, JavaScript
Databases MySQL
Core CS OOP, DBMS, DSA
Tools VS Code, GitHub, MS Office, LaTeX

Currently expanding my skill set through projects and practical learning.

Projects

FRIDAY: Personal AI Companion

Built a personal AI companion using Python. This AI helps us automate our daily basic tasks like greeting and interaction, web browsing and entertainment, weather updates, and many more.

GitHub · Research Paper

College Website with AI Chatbot

Developed a responsive college website designed to showcase the college's events, activities, facilities, and student life. In addition, it is integrated with a chatbot that answers all the queries related to college.

Live Site

Smart Weather Dashboard

A responsive weather dashboard that fetches real-time weather data using an external API. Displays temperature, humidity, wind speed, pressure, and weather conditions for searched locations.

GitHub · Live Demo

Netflix Movie Recommendation System

A machine learning–based web application that recommends movies using content-based filtering and cosine similarity. Built with Python and Streamlit, featuring a Netflix-inspired UI and dynamic movie poster integration via OMDb API.

GitHub · Live Site

Calories Burn Prediction Model

Machine learning-based application developed to estimate calories burned using parameters such as age, weight, duration, heart rate, and body temperature. The system applies data preprocessing and regression techniques to deliver accurate predictions through a user-friendly interface.

GitHub · Live Site

Publications

Research Paper: FRIDAY – Personal AI Companion

International Journal of Advanced Research in Science, Communication and Technology (IJARSCT)

In the rapidly evolving landscape of artificial intelligence, intelligent digital assistants have become a key area of research due to their potential to enhance user experience and simplify daily activities. This research paper presents F.R.I.D.A.Y. , a sophisticated personal AI companion designed to perform a wide range of tasks through natural and intuitive human interaction.

Unlike static software systems, F.R.I.D.A.Y. is designed as a dynamic and adaptive AI system that responds to user commands, learns usage patterns, and evolves with user needs. The assistant integrates voice recognition, speech synthesis, information retrieval, and task automation to provide seamless interaction between humans and machines.

Volume 4, Issue 1 · January 2024

View Journal

Experience

Data Science Intern – Shorat Innovations Pvt. Ltd.

Jan 2026 – Feb 2026

Completed a Data Science internship with hands-on exposure to working with real-world datasets. The role involved data cleaning, preprocessing, and exploratory data analysis using Python, along with applying basic machine learning concepts to extract meaningful insights. I collaborated with team members to understand problem statements and translate them into data-driven solutions, strengthening my analytical thinking and practical understanding of data science workflows.

Web Development Trainee – Rajavi Technology Pvt. Ltd.

Jun 2023 – Jul 2023

During my industrial training at Rajavi Technology Pvt. Ltd. , I gained hands-on experience in web development and automation testing through an extensive online program. I improved my knowledge of HTML, CSS, and JavaScript and laid a strong basis for front-end programming.