Welcome! This repository showcases my AI, ML, and Full-Stack projects, hackathon work, and research initiatives. Each project includes technical details, outcomes, and links to demos/code.
- 🌐 LinkedIn: www.linkedin.com/in/ishandharpawarid
- 📧 Email:ishandharpawarid@gmail.com
- 🐙 GitHub: https://github.com/JJIShanid
🎓 Master's Student in Data Science - Business Analytics @ SRH University, Germany
🎓 B.Tech in Computer Engineering (specialization: Data Science & AI)
🎓 Diploma in Computer Engineering
💻 Data Scientist | Machine Learning & AI Enthusiast | Business Analytics
🌍 Passionate about applying AI/ML to solve problems in marketing, sustainability, and business intelligence.
- Programming: Python, SQL, R, MATLAB
- Data Science & ML: Scikit-learn, TensorFlow, Keras, PyTorch
- Analytics & Visualization: Power BI, Tableau, Streamlit, Matplotlib, Seaborn
- Specialties: Time-Series Forecasting, Marketing Analytics, Customer Churn Prediction
- Languages: English, German A2
Projects Overview
- Farmapre – Hackathon Project
Description: AI & Deep Learning full-stack platform for farmers – crop predictions, fertilizer recommendations, and pest detection.
Tech Stack: Python, TensorFlow, Flask, Flutter, IoT integration, image processing
Outcome: Semifinalist at hackathon; practical application of AI for smart agriculture
GitHub / Demo: https://github.com/JJIShanid/FarmaPre
463596820-cfafffac-aedd-40de-ac89-2e7c6241e3ad.mp4
- Rossmann Sales Forecasting (Time Series: ARIMA / Prophet / XGBoost)
Description: Forecasted daily retail sales for a major chain using multiple models, and compared their performance.
Tech Stack: Python, Pandas, NumPy, ARIMA, Prophet, XGBoost, Matplotlib
Features:
Data preprocessing and missing value handling
Model comparison dashboard with visualization
Exportable forecasts for inventory & staffing decisions
Outcome: Enabled data-driven business decisions for retail operations.
GitHub / Demo: 
- Marketing Analytics Dashboard (Power BI + Python)
Description: Interactive KPI reporting platform for marketing campaigns, customer segmentation, and market demand analysis.
Tech Stack: Power BI, Python, Pandas, Matplotlib
Features:
Dashboard with dynamic filters & KPI visualization
ROI and campaign performance analysis
Customer segmentation insights
Outcome: Helped optimize marketing spend and improve campaign effectiveness.
GitHub / Demo: ---
- AI-Driven Business Performance Analytics System
Description: Full-stack IoT + AI platform monitoring KPI data in real-time, performing forecasts, and sending alerts.
Tech Stack: Flutter, ESP32, Firebase, Python, ML models, Streamlit
Features:
Interactive dashboards for business KPIs
Real-time forecasting and alerting system
Automated ML model retraining pipeline
Outcome: Enabled data-driven operational decision-making.
GitHub / Demo: https://github.com/JJIShanid/AI-Driven-Business-Performance-Analytics-System
]
- Smart Weather-Driven Crop Support System (IoT + ML)
Description: Real-time weather sensing system with AI for crop recommendations, irrigation alerts, and pest detection.
Tech Stack: Flutter, ESP32, Python, ML models, Streamlit
Features:
Crop prediction & fertilizer recommendation system
Real-time weather-based alerts
IoT integration for sensors & dashboard visualization
Outcome: Enhanced agricultural decision-making and resource optimization.
GitHub / Demo: (https://github.com/JJIShanid/Realtime-Weather-App--Flutter---esp32)
- Meethub Application (Diploma Project)
Description: AI-enhanced virtual conferencing app with real-time speech-to-text, noise reduction, and meeting summaries.
Tech Stack: Python, AI models, Flask, WebRTC, NLP libraries
Outcome: Published research in International Journal of Scientific Research in Engineering and Management
GitHub / Demo: [Link to repo / Demo video]
- Airdrop Hunter Bot (Bachelor’s Thesis)
Description: Sybil-resistant bot for secure cryptocurrency transactions with AI-driven fraud detection.
Tech Stack: Python, TensorFlow, PySpark, Web3.py, Smart Contracts (Solidity), Telegram API
Outcome: Optimized Ethereum, BNB, and MATIC network transactions, published research in International Journal of Innovative Research in Technology
GitHub / Demo: https://ijirt.org/article?manuscript=162025
Other Projects / Mini Projects
Engineering Graphics Models – 3D modeling during diploma
Database Management Optimization – Improved DB performance
AI-driven Financial Forecasting Tool – Advanced Java project
Real-time Object Recognition App – Mobile AI app
🌟 Currently Exploring
💡 GenAI & LLM Deployment for Business Automation Chatbots, document intelligence, and retrieval-augmented analytics (RAG) for enterprises.
📊 AI-Powered Marketing Optimization & Revenue Forecasting Customer lifetime value (CLV), cross-selling, churn risk ranking, and price optimization.
🌍 Sustainable & Smart Urban Analytics (IoT + AI) Urban mobility analytics, smart energy systems, and CO₂-aware city forecasting.
🏭 AI in Manufacturing & Quality Assurance (Industry 4.0) Predictive maintenance, anomaly detection, ECU test automation, and sensor-based analytics.
##Achievements
Semi-finalist & Top 20/400+ at ETHseoul 2023
Top 30/120 teams in Smart India Hackathon
University Kho Kho champion; 3rd place in badminton & cricket
Head Coordinator – IT Colloquium Project Expo & e-sports events
##Publications
Meethub Application: International Journal of Scientific Research in Engineering and Management
Airdrop Hunter Bot: International Journal of Innovative Research in Technology
⭐ Currently building → scalable AI/ML systems powering data-driven decisions