TEJAS MHAPAJI SHINDE

B.E. - Computer Engineering Student | Full-Stack Developer & Data Analyst
Pune City, IN.

About

Driven and detail-oriented Computer Engineering student with hands-on experience in full-stack web development (Java, React.js, MERN stack) and data analysis. Completed impactful internships at RightShift Infotech, contributing to production-level React applications and data-driven insights. Eager to leverage strong problem-solving skills, rapid technology adoption, and a passion for continuous learning to deliver high-impact, real-world solutions as a full-stack developer.

Work

RightShift Infotech
|

Web Application Developer

Pune, Maharashtra, India

Summary

Developed and deployed a full-stack e-commerce web application, TechStore, using React.js and Firebase, featuring dynamic product listings and secure user authentication.

Highlights

Architected and developed a full-stack e-commerce web application with React.js and Firebase, enabling dynamic product listings and real-time category filtering.

Implemented secure user authentication via Firebase Authentication and managed user/product data, ensuring real-time database updates and data integrity.

Designed and built a comprehensive admin panel for product management, incorporating React hooks and custom validation logic for efficient data handling.

Optimized application performance through lazy loading and state handling, while ensuring full responsiveness across devices using Tailwind CSS and Bootstrap.

Deployed the platform using Netlify for the frontend and Firebase services for the backend, ensuring a scalable and maintainable solution.

RightShift Infotech
|

Data Analyst

Pune, Maharashtra, India

Summary

Executed a data-driven project to analyze restaurant attributes, predict ratings using machine learning models, and extract key business insights.

Highlights

Led a data-driven project to analyze restaurant attributes and predict ratings by implementing various machine learning models.

Performed extensive data cleaning, exploratory data analysis (EDA), and feature engineering to prepare datasets for model training.

Developed and compared multiple machine learning models, including Linear Regression, Decision Tree, and Random Forest, achieving a high R² of 0.90 with Random Forest.

Extracted key business insights from complex datasets and visualized trends using Matplotlib and Seaborn, informing strategic recommendations.

Education

Sinhgad College of Engineering
Pune City, Maharashtra, India

B.E.

Computer Engineering

Grade: 7.25 / 10 CGPA

Dattakala international school and junior college, Bhigwan
Bhigwan, Maharashtra, India

12th (MSBSHSE)

Science

Grade: 93.33 / 100 Percentage

VP's New English Medium School, Baramati
Baramati, Maharashtra, India

10th (MSBSHSE)

General Studies

Grade: 93.20 / 100 Percentage

Languages

English
Marathi
Hindi
Sanskrit

Skills

Backend & Database

Firebase, Authentication, LocalStorage, Real-time Database Updates.

Web Development

ReactJS, MERN Stack, RESTful APIs, Web Development, Bootstrap, Tailwind CSS, Netlify, Responsive Design, Dynamic Web Applications.

Programming Languages

Java, Python, JavaScript.

Data Science & Machine Learning

Data Analysis, Data Visualization, Scikit-Learn, Pandas, SciPy, Regression Models, Linear Regression, Decision Tree, Random Forest, Exploratory Data Analysis (EDA), Feature Engineering, Matplotlib, Seaborn.

Software Development

Object-Oriented Programming (OOP), Problem Solving, Scalable Web Solutions, Modern Software Development Practices, Form Validation, Lazy Loading, State Handling.

Soft Skills

Highly Organized, Quick Learner, Continuous Learning, Team-Oriented Environment, Detail-Oriented, Creative Problem Solving.

Interests

Hobbies

Exploring, Connecting with people, Trekking, Travelling to new town.

Projects

TechStore

Summary

A full-stack e-commerce application developed with React.js and Firebase, offering dynamic product browsing, real-time filtering, secure user authentication, and robust product management.

TEJAS MHAPAJI SHINDE