Vignesh Venkatesan - Data Science & ML Engineer

Vignesh Venkatesan Data Science & ML Engineer

A passionate data science student specializing in machine learning solutions, transforming complex data into actionable insights through statistical modeling and AI.

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about me

I'm a passionate undergraduate student specializing in Data Science and Machine Learning. While I gained valuable frontend experience during my internship, my true expertise lies in building predictive models and extracting insights from complex datasets. I'm particularly interested in medical AI applications and deep learning solutions.

Education

2023 – Present

Vellore Institute of Technology, Chennai

B.Tech in Computer Science (Data Science)
CGPA: 9.48 (4 Semesters)

2017 – 2023

The Navodaya Academy

Higher Secondary Education

Technical Skills

Languages

Python

Java

C++

Data Science

Pandas

NumPy

Jupyter

Machine Learning

TensorFlow

PyTorch

Computer Vision

Projects

Research and Development

Advanced Billing Management System

Website

Developed a comprehensive billing system with dynamic product management and inventory tracking Implemented real-time stock monitoring, quantity adjustments, and automated sales analytics Built responsive user interface with intuitive controls for product addition, billing, and report generation Integrated advanced features for inventory management and business intelligence dashboard

Full Stack Web Development JavaScript Inventory Management

Diabetes Detection using Iris Images

Research

Conducting novel research to detect diabetic retinopathy through non-invasive iris image analysis. Developing a deep learning model to identify biomarkers in iris patterns, aiming to provide an early and accessible screening method.

Computer Vision Deep Learning Medical Imaging Python

Experience

Professional Journey

Research Intern (Data Science Focus)

Dr. Agarwal's Eye Hospital

May 2025 - Present

Developing computer vision models for medical image analysis
Implementing deep learning pipelines for early disease detection
Processing and augmenting medical imaging datasets

Frontend Development Intern

Qantler Technologies

May 2025 - June 2025

Designed and developed responsive UI components
Implemented frontend interfaces using modern web technologies
Collaborated on user experience improvements

Achievements

Competitions and Recognition

National Hackathon Winner

Dataset2024 by Nokia

Led a team to first place in a national-level competition. Developed an innovative data-driven solution for fault detection of devices in network with real time data metrices.

Project Collaboration

Nokia

Received opportunity to collaborate with Nokia on real-world data solutions following the national hackathon win.