AI Data Scientist & Machine Learning Engineer
Transforming complex data into intelligent solutions that drive innovation and business growth
Let's Work TogetherAdvanced ML algorithms, deep learning, neural networks, and AI model optimization for production environments.
Statistical analysis, data visualization, predictive modeling, and business intelligence solutions.
Expert in Python ecosystem (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and R for statistical computing.
AWS, Google Cloud, Azure deployment, MLOps, containerization, and scalable data pipeline architecture.
Image recognition, object detection, facial recognition, and automated visual quality inspection systems.
Natural language processing, sentiment analysis, chatbots, and large language model fine-tuning.
Built an AI-powered customer behavior prediction system that increased conversion rates by 35% using ensemble machine learning methods and real-time data processing.
Tech Stack: Python, XGBoost, Apache Kafka, PostgreSQL
Developed a computer vision system for automated medical diagnosis with 94% accuracy, helping radiologists identify anomalies faster and more reliably.
Tech Stack: TensorFlow, OpenCV, Docker, AWS EC2
Created an intelligent trading algorithm using reinforcement learning that outperformed market benchmarks by 23% over 18 months of live trading.
Tech Stack: Python, PyTorch, Alpha Vantage API, MongoDB
Engineered a sophisticated conversational AI supporting 12 languages with 97% intent recognition accuracy and seamless integration capabilities.
Tech Stack: Transformers, FastAPI, Redis, Google Cloud