π― Passionate Data Scientist with expertise in Machine Learning, Deep Learning, and Business Intelligence, complemented by strong Full-Stack Development skills. I specialize in building end-to-end data science solutions and AI-powered web applications that bridge the gap between complex analytics and user-friendly interfaces.
- π Currently working on: Advanced MLOps pipelines, AI-powered web applications, and intelligent analytics dashboards
- π± Learning: LLM Fine-tuning, Computer Vision, MLOps at scale, and Serverless ML architectures
- π€ Open to collaborate on: Data Science projects, ML research, AI web applications, and Open Source initiatives
- π¬ Ask me about: Python, Machine Learning, React, Node.js, Data Visualization, SQL optimization, Docker containerization
- β‘ Philosophy: "Data is the new oil, but insights delivered through intuitive applications are the refined fuel that drives decisions"
# My Data Science Workflow
data_pipeline = {
"data_collection": ["APIs", "Web Scraping", "Databases", "IoT Sensors"],
"data_processing": ["Pandas", "NumPy", "Dask", "Apache Spark"],
"analysis": ["Statistical Modeling", "Hypothesis Testing", "A/B Testing"],
"visualization": ["Power BI", "Matplotlib", "Seaborn", "Plotly", "Tableau"],
"deployment": ["Streamlit", "FastAPI", "Docker", "Cloud Platforms"],
"insights": ["Business Intelligence", "Predictive Analytics", "Prescriptive Analytics"]
}
# ML/AI Specializations
ml_expertise = {
"supervised_learning": ["Regression", "Classification", "Ensemble Methods"],
"unsupervised_learning": ["Clustering", "PCA", "Association Rules"],
"deep_learning": ["Neural Networks", "CNN", "RNN", "Transformers"],
"nlp": ["Text Processing", "Sentiment Analysis", "Language Models"],
"computer_vision": ["Image Classification", "Object Detection", "OCR"],
"mlops": ["Model Deployment", "Monitoring", "CI/CD for ML"]
}
// Web Development Stack
const fullstack_skills = {
"frontend": ["React", "Next.js", "TypeScript", "Tailwind CSS", "Material-UI"],
"backend": ["Node.js", "Express", "FastAPI", "Laravel", "Django"],
"mobile": ["Flutter", "React Native"],
"databases": ["MongoDB", "PostgreSQL", "MySQL", "Firebase"],
"cloud": ["AWS", "Google Cloud", "Docker", "Kubernetes"]
}
- π Real Estate Price Prediction - End-to-end ML pipeline with feature engineering, model deployment via FastAPI
- π Stock Market Analysis & Forecasting - Time series forecasting using LSTM with interactive React dashboard
- π Customer Segmentation Platform - RFM analysis with clustering algorithms deployed as web application
- π€ Intelligent Chatbot with NLP - Context-aware conversational AI using transformer models and React frontend
- π― Predictive Analytics Dashboard - Real-time ML predictions with Power BI integration and web interface
- πΌ Executive Sales Dashboard - Interactive Power BI dashboard with KPIs, trend analysis, and web portal
- π Supply Chain Optimization Suite - SQL-based analysis with Laravel web interface for inventory management
- β‘ Real-time Analytics Platform - Streaming data pipeline with Apache Kafka, Spark, and React frontend
- π A/B Testing Framework - Statistical testing platform with automated reporting and web dashboard
- π³ ML Model Containerization - Docker-based deployment with CI/CD pipelines and web monitoring
- π¦ Feature Store Implementation - Centralized feature management with web interface
- π Automated ML Pipeline - End-to-end workflow with monitoring dashboard
- Data Scientist Certification - DataCamp
- Data Analyst Certification - DataCamp
- AI Engineer for Data Scientists - DataCamp
current_focus_2024 = {
"primary_data_science": [
"Advanced LLM Fine-tuning & RAG Systems",
"MLOps at Scale with Kubernetes",
"Real-time ML with Apache Kafka & Streaming",
"Causal Inference & Advanced Experimentation",
"Computer Vision for Production Applications"
],
"web_development_integration": [
"AI-powered React Applications",
"ML Model Serving with FastAPI",
"Real-time Data Dashboards",
"Mobile Analytics with Flutter",
"Serverless ML Architectures"
],
"research_interests": [
"Explainable AI (XAI) in Web Applications",
"AutoML & Neural Architecture Search",
"Federated Learning Systems",
"Time Series Forecasting at Scale",
"Reinforcement Learning for Recommendation Systems"
]
}
π« "Transforming data into intelligent applications that drive real-world impact"
βοΈ From Houssem Elimam | Data Scientist & Full-Stack Developer