Welcome to my GitHub profile! I'm a data scientist who is specialized in machine learning and passionate about solving complex problems through data science, with a strong focus on generative AI and building impactful applications using natural language processing (NLP) and large language models (LLMs).
- 🔭 Current Role: Chief Data Scientist at Synapse Analytics
- 🌱 Education: PhD in Computer Science & MSc in Bioinformatics from Nanyang Technological University
I am mostly working on the "Life with" repos here on my GitHub:
- Life with DL --> general deep learning
- Life with Graphs --> analysis and prediction on graphs
- Life with LLMs --> LLMs, RAG, Agents, etc.
- Life with NLP --> NLP tasks such as sentiment analysis, summarization, question answering, etc.
- Life with Recs --> recommender systems
I have my own pet projects that I work on from time to time:
- HEROIC Surfer
- HEROIC is a self-development platform that provides lots of content (book summaries, daily wisdom videos, meditations, etc.)
- I am currently scraping the HEROIC website.
- With what I am scraping, I intend to build a LLM-powered Shiny app that lets you explore the HEROIC database.
- BGG Scraper
- Board Game Geek (BGG) is an encyclopedic website that has all kinds of information on all board games ine existence.
- I developed many functions for scraping different kinds of board game info. Most of these functions made use of the BGG's XML API.
- Programming: Python, R, MATLAB, SQL, Java, C++, JavaScript
- Libraries: Transformers, PyTorch, scikit-learn, pandas, NumPy, Plotly, Matplotlib, seaborn, dplyr, ggplot2, Leaflet, Shiny, Gradio
- DevOps/Development Tools: Amazon Web Services (AWS), MS Azure, Docker, Git, GitHub, HuggingFace, Spark, RStudio, Jupyter, Cursor, VSCode
- Machine Learning: Model Deployment, Supervised Learning, XGBoost, Clustering, Feature Engineering, Feature Selection, Deep Learning, Gradient Descent, Convolutional Networks, Ensemble Learning, Manifold Learning, Cross-Validation, Time Series Forecasting, Recommender Systems, Matrix Factorization, Dimensionality Reduction, Graph Neural Networks
- Generative AI: Large Language Models, Natural Language Processing, LLM fine-tuning, Retrieval-Augmented Generation (RAG), LangChain, Ollama, Open-source LLMs, Chatbots, Multi-modal RAG
- Other Competencies: Statistics, Data Wrangling, Data Visualization, Data Mining, Association Analysis, Web Scraping, Parallel Computing, Algorithms, Software Engineering, Relational Databases, Graph Databases (Neo4j), Shiny App Development, Competitive Programming, Bioinformatics, Drug Discovery, Pharmaceuticals
- LinkedIn: linkedin.com/in/aliezzat1985/
- Email: aliezzat1985 AT gmail DOT com
Feel free to explore my repositories and reach out if you'd like to collaborate on exciting data science projects!