Freelance Data Scientist | ML Engineer | Full-Stack Developer
Passionate about leveraging data science, machine learning, and software engineering to solve complex problems. With 82 DataCamp projects and 31 self-initiated projects, I bring a diverse skill set in AI, aerospace simulations, web applications, and more.
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Autonomous Lunar Rescue System - AI-powered lunar rescue coordination webapp
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Falcon 9 Landing Simulator - Advanced trajectory optimization using Dymos
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Mars Rover Navigation Simulator - Path planning and terrain analysis
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NZ Launch Site AI Project - Optimal launch site selection using ML
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Satellite Orbit Classification - ML models for orbital mechanics
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Nuclear Fission Reactors - Moon Base Alpha - Reactor simulation for lunar base
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Book Writer AI Toolkit - AI-powered book generation and production management
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Super Claude - Enhanced Claude AI integration toolkit
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Self-Hosted AI Starter Kit - Complete self-hosted AI solution
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ML Model for REE Detection - Rare Earth Element detection using ML
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Olanzapine ML Framework - Pharmaceutical analysis ML framework
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Beyond the Plate Web App - Nutrition and meal planning platform
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Feast Planner App - Event meal planning and coordination
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News Aggregator - AI-powered news curation platform
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Presentation Web App - Interactive presentation builder
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Interactive Historical Map Generator - Dynamic historical map visualization
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Map Tile Generation Web App - Custom map tile generation system
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Country Map Tile Generator - Automated country map tile creation
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Interactive Basemap - Customizable interactive mapping solution
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SpriteStickerForge Pro - Professional sprite and sticker creation tool
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RTS Game Dev - Real-time strategy game development framework
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Interactive Map Python Pygame - Pygame-based interactive map system
I've completed 82 DataCamp projects covering comprehensive topics across the data science ecosystem:
🤖 Machine Learning & AI:
- Supervised Learning: Classification, Regression, Decision Trees, Random Forests, XGBoost
- Unsupervised Learning: K-Means Clustering, Dimensionality Reduction
- Model Optimization: Hyperparameter Tuning, Cross-Validation, Feature Engineering
- Explainable AI: SHAP (Shapley Values) for model interpretability
🧠 Deep Learning & Neural Networks:
- Frameworks: PyTorch, TensorFlow/Keras, torchvision
- Architectures: CNNs, ResNet-18, Transfer Learning
- Applications: Image Classification, Object Detection, Multi-Modal Learning
- Computer Vision: Fashion MNIST, Traffic Signs, Medical Imaging (X-rays), Food Classification
🗣️ Natural Language Processing:
- Transformers: Hugging Face, DistilBERT, BART, GPT-4 API Integration
- Techniques: Sentiment Analysis, Text Summarization, Machine Translation, Question Answering
- Text Analytics: TF-IDF, NLTK, Tokenization
- Applications: Review Classification, Email Categorization, Claims Analysis
📊 Data Science & Analytics:
- Data Manipulation: pandas, NumPy, advanced data wrangling
- Statistical Analysis: Hypothesis Testing, A/B Testing, ANOVA, Chi-Square Tests
- Visualization: matplotlib, seaborn, Plotly for interactive charts
- Time Series: Forecasting, Trend Analysis, Temporal Data Handling
💼 Business & Domain Applications:
- Finance: Portfolio Optimization (PyPortfolioOpt), Risk-Return Analysis, FAANG Stock Analysis
- Healthcare: Medical Image Classification, Clinical Data Analysis
- E-commerce: Customer Review Analysis, Sales Forecasting, Recommendation Systems
- Insurance: Claims Prediction, OCR Document Processing
- Transportation: Traffic Sign Detection, Car Review Sentiment Analysis
🔧 Data Engineering:
- ETL Pipelines: Data transformation, validation, automation
- Vector Databases: ChromaDB, Pinecone for semantic search
- Embeddings: OpenAI Embeddings, RAG (Retrieval-Augmented Generation)
- Data Formats: JSON, Parquet, CSV processing
💻 Advanced Programming:
- Python: Object-Oriented Programming, Type Hinting, Advanced Functions
- R: Statistical Computing, dplyr, tidyverse
- Model Deployment: joblib serialization, production-ready pipelines
🎯 Specialized Tools & Technologies:
- LLMs: GPT-4, Llama (llama-cpp-python), OpenAI API
- Cloud Services: Model hosting, vector databases
- Optimization: Accelerate for distributed training
- Metrics: BLEU, F1-Score, Accuracy evaluation
📁 82 DataCamp Projects Completed - Comprehensive portfolio spanning ML, AI, Data Engineering, and Data Science
5 Professional Certifications demonstrating expertise in:
- 🤖 AI Engineering & Development
- 🐍 Python Data Analysis & Engineering
- 🔧 Data Engineering & ETL Pipelines
- 📊 Machine Learning & AI for Data Science
- 🏗️ Professional Data Infrastructure
Machine Learning & AI:
- Supervised Learning (Classification, Regression)
- Unsupervised Learning (Clustering, Dimensionality Reduction)
- Deep Learning (CNNs, RNNs, Transformers)
- Natural Language Processing (NLP)
- Computer Vision
- Reinforcement Learning
- Large Language Models (LLMs)
- Prompt Engineering & Fine-tuning
- Model Deployment & MLOps
Data Engineering:
- ETL/ELT Pipeline Design & Implementation
- Data Warehousing & Data Lakes
- Real-time Data Processing
- Batch Processing & Workflow Orchestration
- Data Quality & Testing
- CI/CD for Data Pipelines
- Cloud Data Architecture
- Distributed Computing
Data Science & Analytics:
- Statistical Analysis & Hypothesis Testing
- Exploratory Data Analysis (EDA)
- Feature Engineering
- Time Series Analysis
- A/B Testing
- Data Visualization & Storytelling
- Predictive Modeling
- Business Intelligence
Programming & Software Engineering:
- Object-Oriented Programming (OOP)
- Functional Programming
- API Development (REST, GraphQL)
- Version Control (Git)
- Unit Testing & TDD
- Code Optimization & Debugging
- Software Design Patterns
- ✅ AI Engineer for Developers Associate - DataCamp
- ✅ Python Data Associate - DataCamp
- ✅ Data Engineer Associate - DataCamp
- ✅ AI Engineer for Data Scientists Associate - DataCamp
- ✅ Data Engineer Professional - DataCamp
- 🚀 31 Self-Initiated Projects spanning aerospace, AI, web dev, GIS, and more
- 📚 82 DataCamp Projects completed across Data Science, ML, and Engineering
- 🌟 113 Total Projects demonstrating continuous learning and practical application
- 🛰️ Specialized in aerospace simulations and trajectory optimization
- 🤖 Expert in AI/ML applications and LLM integration
- 🌐 Full-stack web development with modern frameworks
- 🗺️ Geospatial analysis and interactive mapping systems
- 📊 Advanced data analysis, visualization, and statistical modeling
- 🎯 Advanced Deep Learning architectures
- ☁️ Cloud-native ML deployment (AWS SageMaker, Azure ML)
- 🚀 Advanced aerospace trajectory optimization
- 🌐 Distributed systems and microservices




