Rao Mitesh
Full Stack Developer & Aspiring AI/ML Engineer
👋 I'm Rao Mitesh, a dedicated Data Science student at JG University with a strong academic foundation (CGPA: 8.83). I craft intelligent solutions with code and creativity, combining analytical thinking with creative problem-solving to build meaningful full-stack applications and develop AI/ML models that make a real impact.
Education
2024-2027
Bachelor of Science (IT) - Data Science
JG University, Ahmedabad, Gujarat, India
CGPA: 8.83/10.0 (Sem 1: 8.6, Sem 2: 8.9 & Sem 3: 9)
2022-2024
12th GSEB Board
Tripada High School, Ahmedabad, Gujarat
Grade: A2
2022
10th GSEB Board
Swaminarayan English School, Ahmedabad, Gujarat
Grade: B1
Experience
Aug 2025 - Oct 2025
2
Data Science Intern - Cs Vision
Project: Profit Paradox - Sales Analysis Dashboard
– Engineered an end-to-end data analysis dashboard using Streamlit
during internship.
– Deployed ML models including Sales/Profit Prediction and
Customer Segmentation.
– Implemented cleaning pipelines and classification models for targeted business
insights.
– Created interactive visualizations to drive business strategy for superstore data.
– Tech Stack: Python, Streamlit, Scikit-learn, Pandas, Matplotlib.
Personal Projects
Talksy - Real-Time Chat Application
– Built a feature-rich real-time chat platform using React 19 (Frontend)
and PHP 8.2 (Backend).
– Engineered instant messaging capabilities using WebSocket (Ratchet)
for bidirectional communication.
– Implemented secure authentication, email verification, file sharing, and snap photo
integration.
– Designed a modern, responsive UI with dark/light mode support and smooth Spring
animations.
– Tech Stack: React, PHP, MySQL, WebSocket, Ratchet, PHPMailer.
ThunderCast - AI Weather Prediction Platform
– Developed an AI-powered platform forecasting thunderstorm and gale risks using
Machine Learning.
– Integrated real-time weather data aggregation with an interactive 3D globe/map
UI using React & Tailwind.
– Orchestrated predictions via a Node.js backend and
Python inference services.
– Features live station statistics, configurable alerts, and visualized risk assessment
layers.
– Tech Stack: React, Node.js, Python, Scikit-learn, Tailwind CSS.
My Services
Full Stack Development
Building modern, responsive web applications using React.js, HTML5, CSS3, and WebSocket. Expert in creating real-time applications with seamless user experiences.
AI & Machine Learning
Developing intelligent ML models for prediction and analysis using Scikit-learn, XGBoost, and Random Forest. Specialized in sales forecasting and weather prediction systems.
Data Science & Analytics
Expert in data analysis, predictive modeling, and creating interactive dashboards with Python and Streamlit. Proficient in SQL database design and management.
Web Application Development
Creating dynamic full-stack applications with modern technologies. Experience in building chat applications, prediction systems, and data-driven web platforms.
My Skills
Languages
Python,
JavaScript,
Java,
C++, C,
SQL, PHP
ML & Data Science
Scikit-learn, XGBoost,
Random Forest, Predictive Analytics
Web Development
React.js,
HTML5,
CSS3,
WebSocket, Streamlit
Tools & Technologies
VS Code, Cursor,
Git, GitHub,
Jupyter Notebook, AI
Tools
Database
SQL (Intermediate),
Database Design & Management,
Data Structures
Certifications
Responsive Web Design (freeCodeCamp)
Areas of Interest
AI & ML,
DevOps
Soft Skills
Problem Solving,
Self-learning,
Presentation,
Adaptability