| 🏷️ | 💎 SPECIALIZATION |
|---|---|
| 👨💻 | David Tommy |
| 🎭 | Data & AI Scientist |
| 🔬 | Machine Learning • Deep Learning • Statistical Modeling |
| 🐍 | Python • R • SQL • C++ • JavaScript |
| 🤖 | TensorFlow • PyTorch • Scikit-learn • Pandas • NumPy |
| 📊 | Jupyter • Apache Spark • Tableau • Power BI |
| ☁️ | Azure ML • AWS SageMaker • Docker • FastAPI |
| 🎯 | AI-Powered Learning Platform (FastAPI + Flutter) |
| 💭 | "Turning Data into Decisions, Algorithms into Impact" |
| 🔬 AI/ML DOMAIN | 🌟 MASTERY | 📈 YEARS |
|---|---|---|
| Machine Learning | 6+ Years | |
| Deep Learning | 5+ Years | |
| Data Analysis | 7+ Years | |
| Statistical Modeling | 6+ Years | |
| NLP & Computer Vision | 4+ Years | |
| MLOps & Deployment | 3+ Years |
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mindmap
root((David Tommy<br/>Data Scientist))
Machine Learning
Supervised Learning
Classification Models
Regression Analysis
Unsupervised Learning
Clustering Algorithms
Dimensionality Reduction
Deep Learning
Neural Networks
Computer Vision
Natural Language Processing
Applied AI
Financial AI
Algorithmic Trading
Risk Assessment
Market Prediction
Healthcare AI
Medical Imaging
Drug Discovery
Clinical Analytics
Educational AI
Learning Analytics
Personalization
Assessment Systems
- 📈 Time Series Analysis → Advanced forecasting models for financial & business data
- 🔍 Computer Vision → Image recognition, medical imaging, and visual AI systems
- 📝 Natural Language Processing → Text analysis, sentiment analysis, and chatbot development
- 🎯 Recommendation Systems → Collaborative filtering and content-based recommendations
- 🚨 Anomaly Detection → Fraud detection, system monitoring, and outlier identification
