Aaditya S Shah

AI/ML Developer & Data Science Enthusiast

Building intelligent, real-time applications that solve real-world problems using cutting-edge AI technologies. Enthusiastic and self-driven, with a strong foundation in programming and problem-solving.

Contact Information

Profile

Enthusiastic and self-driven undergraduate student pursuing B. Tech in Artificial Intelligence and Data Science, with a strong foundation in programming and problem-solving. Eager to apply academic knowledge and develop innovative solutions in a software development role, contributing to impactful projects.

Skills

Programming

  • Python
  • C
  • C++
  • Java
  • SQL
  • HTML
  • CSS
  • JavaScript

Technologies

  • Git
  • Scikit-learn
  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn
  • Streamlit
  • Tableau

AI & ML

  • Basics of Machine Learning
  • Deep Learning
  • Data analysis and visualization

Concepts

  • Data Structures (DSA)
  • Probability
  • Linear Algebra
  • Calculus

Languages

  • English
  • Hindi
  • Gujarati
  • Tamil

Soft Skills

  • Communication
  • Teamwork
  • Problem Solving
  • Adaptability

Education

B.Tech in Artificial Intelligence and Data Science

Shiv Nadar University, Chennai

CGPA: 8.75 (4 Semesters)

Senior Secondary (Class XII)

Maharishi Vidya Mandir Sr. Secondary School, Chennai

Marks: 93%

Secondary (Class X)

Maharishi Vidya Mandir Sr. Secondary School, Chennai

Marks: 96.4%

Professional Experience

Trainee-Support, Tech Mahindra

Jun 2025 – Present | Chennai, India

  • Prototyped an AI model for automating chemical mixing in partnership with a leading chemical company—showcasing potential to replace manual batching.
  • Developed data processing code and Jupyter notebooks to ingest sensor data, train regression models, and visualize process optimizations.
  • Provided L2 support and rapid debugging for a Spark/Airflow analytics platform used by 2,000+ users, ensuring 99% SLA adherence.
  • Automated data-integrity checks in Python, reducing manual audits by 40%, and documented playbooks to onboard new team members.

Projects

BeatHaven: Music Cataloging and Recommendation

An interactive web app for music cataloging and recommendation, combining a stylish frontend with backend data processing to visualize and manage music metadata.

HTML/CSS Python Pandas Streamlit MySQL
View Project

Sentiment Analysis

Focused on basic sentiment analysis and aspect identification for review data to extract overall sentiment and specific product-related aspects from a limited dataset.

Python Pandas Scikit-learn NLTK
View Project

AI-Based Blend Optimization Tool

Built a prototype to optimize chemical blends using real-world data. Applied AI-driven optimization to balance cost and property constraints with real-time visualization.

Python AI/ML Pandas Streamlit

Hackathons

SMART INDIA HACKATHON

Developed an AI-based traffic navigation system that utilizes radar, V2X communication, reinforcement learning, and optimization algorithms to manage traffic dynamically. The project was selected as one of the best in the college.