Welcome to my comprehensive machine learning portfolio. As a seasoned ML engineer and data scientist, I specialize in building production-ready AI systems that deliver measurable business value. From predictive analytics to deep learning applications, my expertise spans the entire ML lifecycle - from data preprocessing to model deployment and business impact analysis.
- 📈 Proven ROI: My solutions have generated over $600K+ in additional revenue for clients
- 🔬 Research-Driven: Deep expertise in both traditional ML and cutting-edge deep learning techniques
- 🚀 Production-Ready: All models are built for scalability, reliability, and real-world deployment
- 💼 Business-Focused: Every technical solution is designed to solve specific business problems
- 🛡️ Security-First: Implemented with enterprise-grade security and data privacy considerations
Mountain Peak Bike Rentals Dynamic Pricing System
- Challenge: Static pricing leaving money on the table in varying market conditions
- Solution: ML-powered dynamic pricing with weather integration and demand forecasting
- Impact: 50.3% revenue increase ($1.2M → $1.8M annually)
- Tech Stack: Python, Random Forest, Real-time API integration, Business Intelligence Dashboard
Customer Churn Prediction Dashboard
- Challenge: Reactive approach to customer loss costing significant revenue
- Solution: Multi-algorithm ML system predicting churn 2 months in advance
- Impact: 15-25% reduction in customer churn, optimized retention spending
- Tech Stack: Streamlit, scikit-learn, Multiple ML algorithms, ROI simulation tools
- Computer Vision: CIFAR-10 classification with advanced CNN architectures
- Natural Language Processing: LSTM networks for sentiment analysis (IMDB reviews)
- Generative AI: GANs for synthetic data generation (MNIST digit creation)
- Time Series Forecasting: LSTM networks for stock market prediction (S&P 500)
- Classification: Multi-algorithm comparison (SVM, Random Forest, Logistic Regression)
- Clustering & Segmentation: Customer behavior analysis and market segmentation
- Ensemble Methods: Combining multiple models for improved accuracy
- Feature Engineering: Advanced preprocessing and dimensionality reduction
- Real-time Prediction APIs: Flask-based deployment systems
- Model Monitoring: Performance tracking and automated retraining
- A/B Testing Frameworks: For model comparison and business impact measurement
- Scalable Architecture: Cloud-ready, containerized ML solutions
Disease Progression Prediction
- Neural network models for patient outcome forecasting
- Synthetic healthcare data generation for model training
- HIPAA-compliant data handling and privacy protection
Dynamic Pricing & Revenue Optimization
- Real-time price adjustment based on market conditions
- Demand forecasting with weather and seasonal integration
- Customer lifetime value prediction
Restaurant Review Intelligence
- AI-powered review analysis and sentiment classification
- Automated customer feedback categorization
- Business insight extraction from unstructured text data
Risk Assessment & Fraud Detection
- Loan approval prediction with multiple ML algorithms
- Credit risk modeling and assessment
- Automated decision-making systems
# Core ML Stack
- Python (Primary): TensorFlow, PyTorch, scikit-learn
- Deep Learning: Keras, Neural Networks, CNNs, LSTMs
- Data Processing: pandas, NumPy, FAISS vector search
- Visualization: Matplotlib, Seaborn, Plotly
- Web Deployment: Flask, Streamlit, REST APIs- Feature Engineering: Automated feature selection and creation
- Hyperparameter Optimization: Grid search, random search, Bayesian optimization
- Model Interpretation: SHAP values, feature importance analysis
- Data Augmentation: Synthetic data generation for improved model performance
- Transfer Learning: Leveraging pre-trained models for faster development
- Model Versioning: Systematic model lifecycle management
- Automated Pipelines: End-to-end ML workflow automation
- Performance Monitoring: Real-time model performance tracking
- A/B Testing: Statistical significance testing for model improvements
| Project Category | Key Metrics | Business Value |
|---|---|---|
| Revenue Optimization | +50.3% revenue increase | $607K additional annual revenue |
| Customer Analytics | 15-25% churn reduction | 2-month early warning system |
| Process Automation | 87% prediction accuracy | Eliminated manual review processes |
| Risk Management | 85% precision in loan approval | Reduced bad debt by 20% |
I don't just build models - I create complete ML ecosystems:
- Data Strategy: From collection to preprocessing and feature engineering
- Model Development: Research, experimentation, and optimization
- Production Deployment: Scalable, maintainable ML systems
- Business Integration: ROI measurement and continuous improvement
My portfolio spans multiple industries, demonstrating the ability to:
- Quickly understand domain-specific challenges
- Adapt ML techniques to unique business contexts
- Translate technical capabilities into business outcomes
- Work with diverse stakeholders from technical teams to C-level executives
- Cutting-Edge Techniques: Implementing latest ML research in production systems
- Custom Solutions: Building bespoke models for unique business problems
- Continuous Learning: Staying current with ML/AI advancements and best practices
- ML Strategy Consulting: Identifying high-impact ML opportunities
- Custom Model Development: Tailored solutions for your specific needs
- System Integration: Seamlessly integrating ML into existing workflows
- Team Training: Upskilling your technical teams on ML best practices
- Ongoing Support: Model maintenance, monitoring, and improvement
- Revenue optimization through predictive analytics
- Customer behavior analysis and churn prevention
- Automated decision-making systems
- Content moderation and text analysis
- Computer vision applications
- Time series forecasting and demand planning
I specialize in transforming complex business challenges into elegant, scalable ML solutions. Whether you're looking to:
- Increase Revenue through intelligent pricing and demand forecasting
- Reduce Costs via process automation and predictive maintenance
- Improve Customer Experience through personalization and sentiment analysis
- Mitigate Risk with advanced fraud detection and credit scoring
I have the expertise and proven track record to deliver results.
🤖 AI-Powered Content Moderation System
Electronic Repair Shop Review Moderator
- Technology: Streamlit, Google Gemini API, SQLite
- Features: Sentiment analysis, spam detection, inappropriate content flagging
- Business Value: Automated review moderation reducing manual effort by 80%
- Scalability: Handles thousands of reviews with real-time processing
📱 Full-Stack Mobile Application
Notes App with ML-Powered Features
- Backend: Flask with JWT authentication and SQLite
- Frontend: SwiftUI for iOS with dark theme
- ML Integration: Potential for text analysis and smart categorization
- Architecture: RESTful API design with secure authentication
🕷️ Intelligent Web Scraping Agent
Y Combinator Startup Analysis Tool
- Technology: BeautifulSoup, Claude AI API, autonomous error handling
- Features: Smart data extraction, AI-powered project idea generation
- Innovation: Fallback mechanisms for robust data collection
- Security: Secure API key management and GitHub-compliant code
Ready to leverage machine learning for competitive advantage? Let's build something extraordinary together.
"The best ML models are not just technically sound - they're business game-changers."