Piyush this side...!! I enjoy building data-driven systems, scalable web applications, and contributing to open-source communities.
My journey spans as I'm currently learning and experimenting with Data Science, AI research, frontend engineering, and problem-solving with DSA.

(Languages • Frameworks • Tools I actively use)

Worked on end-to-end data analysis & modeling using real-world restaurant datasets.

• Data Cleaning & Preprocessing (missing values, type conversion, imbalance checks)
• Statistical Analysis (mean, median, std, categorical insights)
• Geospatial Analysis using latitude/longitude
• Feature Engineering (custom numerical & binary features)
• Predictive Modeling
  • Linear Regression
  • Decision Tree Regressor
  • Random Forest Regressor
• Evaluation Metrics: MAE, MSE, RMSE, R²
• Customer Preference & Cuisine Analysis
• Visualizations: histograms, boxplots, scatter plots, bar charts

Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Folium, Jupyter / Colab

A research-focused project on community detection using an improved swarm-based optimization algorithm.

• ✨ Opposition-Based Learning (OBL) — better initialization
• 🎯 Adaptive Inertia Weight (AIW) — balanced exploration & exploitation
• 🔧 Local Search — fine-grained optimization

📌 Applied to social networks to detect hidden communities efficiently and accurately.

Problem: Inefficient patient prioritization in healthcare
Solution: AI-based triage system for faster and smarter decisions

• ML: Logistic Regression, Random Forest, TensorFlow
• XAI: Explainable AI for model transparency
• Frontend: React
• Backend: Node.js
• Database: Supabase / PostgreSQL
• Deployment: Vercel

“Every second matters in healthcare. MedPulse focuses on speed, accuracy, and explainability.”

• ✅ 13+ PRs merged
• 🏆 6 Badges earned
• 🌳 Tree planted
• 👕 Official T-shirt received

Focused on UI/UX, accessibility, performance, and documentation.

• 9 PRs across 8 repositories
• Worked on frontend systems, accessibility fixes, and UI consistency
• Real-world collaboration with maintainers & reviewers

📌 DSA-Drills Repository

• Daily problem-solving log
• Languages: Python, C++
• Focus on clarity, clean logic, and minimal monospace-style code

A personal learning log documenting:

• ✅ HTML fundamentals
• ✅ CSS basics & layouts
• 🚀 JavaScript (ongoing)
• 🔜 React & advanced frontend concepts

This repo is my coding diary — focused on consistency, not perfection.

• Strong problem-solving mindset
• Hands-on data science & ML experience
• Clean frontend engineering practices
• Real open-source collaboration
• Research exposure + practical systems

⭐ Always learning. Always building. Always improving.