HELLO, I’M SUNIL KAKDE

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Selected Work

DATA SCIENCE

Credit Card Fraud Detection

93.58% accuracy using Random Forest on imbalanced dataset. Reduced false positives by 15%.

Python β€’ Scikit-learn β€’ Pandas
AI / IOT

AI-Based Rockfall Prediction System

92.3% accurate ensemble ML system with Flask backend and IoT alert pipeline.

XGBoost β€’ Flask β€’ REST APIs
COMPUTER VISION

Face Recognition Attendance System

95% accurate real-time system, reduced attendance time by 80%. Won 1st Prize in TECHNOYASH-25.

MTCNN β€’ FaceNet β€’ SQLite
FULL STACK

Samudrasarthi – Coastal Tourism App

Smart India Hackathon finalist app with Flutter UI and Flask backend using INCOIS data.

JAVA β€’ Firebase β€’ XML

What I Do

Data Science & Machine Learning

  • Scikit-learn, XGBoost, TensorFlow
  • Feature Engineering, EDA
  • Predictive Modeling

Full Stack Development

  • HTML, CSS, JavaScript
  • Flask, React
  • REST APIs, Authentication

Mobile & Backend Systems

  • JAVA, XML
  • Flutter, Firebase
  • MySQL, MongoDB, PostgreSQL
  • Docker, Git, Postman

Experience

Machine Learning Intern – Cognifyz Technologies

Built ML pipelines, improved model accuracy by 15%.

Full Stack Web Developer Intern – Tablabs Tech

Built e-commerce prototype with React & Node.

About Me

I enjoy building intelligent systems that combine machine learning, software engineering, and real-world impact. My focus is on scalable, data-driven products.

Let’s Connect

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