Available for opportunities

Tarush Yadav

AI/ML Engineer & Data Scientist

B.Tech CSE student at SRM IST specializing in Artificial Intelligence, Machine Learning, and Data Science. Building intelligent systems that solve real-world problems with 98% accuracy.

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9.1

CGPA

98%

Model Accuracy

01 — About

Building the
intelligent
future

I'm a Computer Science Engineering student at SRM Institute of Science and Technology (2023–2027) with a strong passion for Artificial Intelligence and Machine Learning.

I specialize in building end-to-end ML pipelines — from data preprocessing and feature engineering to model deployment using Streamlit. My work spans supervised learning, computer vision, and data analytics.

Beyond machine learning, I maintain a solid foundation in Data Structures & Algorithms, problem-solving, and software engineering principles.

9.1

CGPA Score

ML Projects

Certifications

98%

Best Accuracy

Education

🎓

SRM IST

B.Tech Computer Science and Engineering

CGPA: 9.1/10 2023 – 2027

Tech Stack

Python Java SQL Scikit-learn TensorFlow OpenCV Pandas NumPy Streamlit Docker Git MySQL PostgreSQL MongoDB Matplotlib Seaborn REST APIs

02 — Skills

Core competencies

Machine Learning92%

Python90%

Data Analysis & EDA88%

Data Structures & Algorithms82%

Computer Vision (OpenCV)78%

SQL & Databases80%

🤖

ML & AI

Classification, Feature Engineering, Model Evaluation, Scikit-learn

📊

Data Science

Pandas, NumPy, Matplotlib, Seaborn, EDA, Data Cleaning

💻

Core CS

DSA, OOP, Complexity Analysis, Algorithms

🛠

DevTools

Git, GitHub, Docker, Streamlit, REST APIs

03 — Projects

Featured work

Project 01

Smart Healthcare Management

Feb 2026 — Present

An intelligent healthcare system leveraging supervised machine learning for disease classification with state-of-the-art accuracy across 41 diagnostic classes.

Designed supervised learning pipeline using Random Forest for multi-class classification across 41 classes achieving 98% accuracy
Performed feature engineering and preprocessing on 132-dimensional medical dataset
Implemented computer vision module using OpenCV for automated risk scoring
Built real-time inference application using Streamlit
Structured modular prediction pipeline separating preprocessing, inference, and evaluation

Python Random Forest OpenCV Streamlit Scikit-learn

View on GitHub →

Project 02

Layoff Prediction System

Jan 2026 — Present

A data-driven layoff prediction system analyzing workforce trends and company patterns to forecast potential organizational restructuring events.

Engineered temporal and categorical features from real-world layoff dataset
Applied multiple classification algorithms and compared performance using evaluation metrics
Implemented preprocessing pipeline for missing value handling and encoding
Generated analytical dashboards using Matplotlib and Seaborn
Improved prediction consistency through systematic feature selection

Python Pandas Matplotlib Seaborn Classification

View on GitHub →

04 — Certifications

Credentials & learning

🔵

Foundations: Data, Data, Everywhere

Google

📅 February 2026

View Certificate ↗

🟣

Python Machine Learning: From Beginner to Pro

Udemy

📅 February 2026

View Certificate ↗

🟡

Databases for Developers: Foundations

Oracle

📅 July 2025

View Certificate ↗

🔷

GenAI Powered Data Analytics Job Simulation

Tata

📅 July 2025

View Certificate ↗

05 — Experience

Beyond the classroom

Team Lead

Prompt Rush

SRM Institute of Science and Technology

April 2025

Led a collaborative team in advanced AI prompting strategies competition. Managed task distribution and delivered results under tight timelines, demonstrating leadership and technical excellence in prompt engineering.

Participant

Hackstacy Hackathon

SRM Institute of Science and Technology

2025

Participated in a 48-hour hybrid hackathon and built a functional prototype from scratch. Demonstrated strong teamwork, rapid prototyping skills, and the ability to deliver working solutions under extreme time pressure.

06 — Contact