Open to Data Science / ML Opportunities

Hi, I'm

Hemanath T

Building data-driven solutions with Machine Learning, Analytics, and AI.

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About Me

I’m a Computer Science Engineering postgraduate focused on Data Science, Machine Learning,Deep Learning, and Artificial Intelligence.

I build intelligent systems that turn real-world problems into practical, data-driven solutions — from predictive modelling and analytics to computer vision and AI-powered applications.

My projects span football analytics, weather analytics, predictive systems, object detection, and intelligent safety solutions. I enjoy working across the complete ML lifecycle, from data collection and preprocessing to model development, evaluation, deployment, and real-world testing.

8+ ML & AI Projects
2+ Computer Vision Systems
17K+ Players Analyzed
1.8M+ Match Appearances

$ whoami

Data Scientist / ML Engineer

$ skills

Python · SQL · ML · DL · Statistics

$ current_focus

Machine Learning & AI

Tech Stack

Programming

Python SQL

Machine Learning

Regression Models Ensemble Techniques Clustering Techniques Feature Engineering Model Evaluation & Hyperparameter Tuning Recomendation Systems

Deep Learning

ANN CNN TensorFlow Transfer Learning Image Classification Computer Vision Object Detection YOLO RF-DETR Fine-Tuning

Data Analysis

Pandas NumPy EDA Statistics Feature Engineering Data Cleaning & Preprocessing

Visualization

Plotly Matplotlib Seaborn Interactive Dashboards Power BI

Deployment

Fast API Flask Git GitHub

Certifications

2026

Data Science Certification

Python • Statistics • Machine Learning • Deep Learning

2026

Data Analytics Certification

Python • SQL • Power BI • Data Visualization

Featured Projects

A selection of machine learning and analytics projects built from data to deployment.

Rumble Strip Detection & Driver Warning System

Computer vision system that detects highway rumble strips from forward-facing road video using RF-DETR and generates an early driver warning.

Python RF-DETR Roboflow OpenCV Computer Vision

Football Match Predictor

Machine learning application for predicting international football match outcomes using historical match data.

Python Numpy & Pandas XGBoost Scikit-Learn Streamlit

Customer Churn Prediction

End-to-end classification pipeline for identifying customers at risk of churn using preprocessing, SMOTE and machine learning.

Python Pandas,Numpy Matplotlib, Seaborn Scikit-Learn Logistic Regression Imbalanced-Learn(SMOTE)

GitHub & Coding Insights

10+

Repositories

5+

ML Projects

2+

Computer Vision Systems

100+

Coding Problems

4+

Deployed Apps

LeetCode Progress

Problem Solving Journey

Consistently practicing Data Structures, Algorithms and Interview Problems.

100+ Total Solved
82 Easy
21 Medium
1 Hard

2026 Goal

104 Problems Solved

20% Completed View Profile

Currently Building

🚧 Rumble Strip Detection & Driver Warning System — V2

Status: In Progress

Improving the V1 computer vision prototype to achieve earlier rumble-strip detection and more reliable driver warnings using an expanded dataset, hard-negative mining, temporal detection, and improved evaluation across diverse highway conditions.

Current Progress: Dataset Expansion & Hard-Negative Mining

V2 Goals:

  • Improve early detection distance
  • Reduce false positives
  • Add far-distance rumble-strip examples
  • Improve temporal confirmation
  • Evaluate across multiple unseen road videos

AI-Based Hazardous Object Detection for Scrap Yards

Status: In Progress

Building a computer vision system to detect potentially hazardous objects such as gas cylinders and shock absorbers in scrap yards and waste-management environments. The goal is to identify hazardous objects before they are exposed to burners, furnaces, or high-temperature processing, helping reduce the risk of serious industrial incidents.

Current Progress : Model Evaluation

Focus:

  • Hazardous object detection
  • Detection in cluttered scrap-yard environments
  • False-positive reduction
  • Robustness under varying lighting and backgrounds
  • Real-world deployment considerations

Generative AI

Learning the NLP and Transformers.

Deep Learning Revision

CNNs, Transfer Learning & Computer Vision.

Interview Preparation

Python, SQL, Statistics and Machine Learning.

Developer Profiles

Find me across the platforms where I build, practice and share my work.

GET IN TOUCH

Let's build something meaningful.

I'm currently open to opportunities in Data Science, Machine Learning and Data Analytics.