@kavyapatidar

Hi 👋, I'm Kavya Patidar

AI/ML Engineer | Data Science Enthusiast | Building Real-World Intelligent Systems

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🚀 About Me

🎓 B.Tech (2nd Year) — Electronics & Advanced Communication Engineering (EC-ACT)

💻 Currently working as a Python Developer Intern

🤖 Passionate about:

• Machine Learning
• Data Science
• Backend Development
• AI Systems Engineering
• Predictive Analytics

📍 Based in India

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🛠 Tech Stack

Languages

Data Science & Machine Learning

• Pandas
• NumPy
• Scikit-Learn
• XGBoost
• Model Calibration
• Feature Engineering
• Probability Modeling
• Time Series Analysis

Deep Learning

• PyTorch
• CNNs
• Signal Processing
• Subject Independent Learning

Backend & Databases

• Node.js
• Express.js
• PostgreSQL
• Prisma ORM
• Redis
• REST APIs
• JWT Authentication

Tools

• Git
• GitHub
• VS Code
• Linux
• Postman
• Docker (Learning)

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🚀 Featured Projects

⚽ AI Football Match Prediction & Betting Analytics Engine

An end-to-end football analytics platform using machine learning and probability calibration.

Features

• Match outcome prediction
• Value bet detection
• Probability calibration
• Expected Goals (xG) features
• ELO rating integration
• Automated data pipeline
• Risk-adjusted betting strategy

Tech Used
Python XGBoost Pandas Scikit-Learn API-Football

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🧠 sEMG Gesture Classification — Synapse NeuroTech Challenge

Machine learning pipeline for subject-independent hand gesture recognition using surface electromyography signals.

Highlights

• LOSO evaluation protocol
• CNN based deep learning model
• Signal preprocessing pipeline
• Feature extraction
• Robust generalization across users

Dataset
PARSEC 6.0 Dataset — IIT Dharwad

Tech Used
Python PyTorch CNN Signal Processing

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🗺 India Village Geo API

Production-ready backend API serving India's geographical hierarchy data.

Features

• 564K+ villages
• Country → State → District → Sub-District → Village hierarchy
• JWT Authentication
• Rate limiting
• Redis caching
• Pagination and search

Tech Used
Node.js Express.js Prisma PostgreSQL Redis

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📊 Data Analysis & Automation Projects

Collection of projects involving:

• Data cleaning pipelines
• Excel automation
• Exploratory data analysis
• Dashboard preparation
• Reporting workflows

Tech Used
Python Pandas OpenPyXL

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📈 Machine Learning Experiments

Repository of various ML implementations including:

• Regression Models
• Classification Models
• Ensemble Learning
• Hyperparameter Optimization
• Feature Selection
• Model Calibration Techniques

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🌱 Currently Learning

• MLOps
• Docker
• Kubernetes
• LLM Applications
• Retrieval Augmented Generation (RAG)
• System Design for AI Applications

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📊 GitHub Stats

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📫 Connect With Me

📧 Email: kavyapatidar71@gmail.com

💼 LinkedIn:
https://www.linkedin.com/in/kavya-patidar-b20b09275/

🐙 GitHub:
https://github.com/kavyapatidar

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"Building intelligent systems that solve real-world problems."