Welcome to my GitHub profile page. I'm currently studying and working, but I will soon make sense of all the repos here :)
I work as a Research Data Scientist at the Israel Central Bureau of Statistics, and I am a final-year Statistics & Data Science student at the Hebrew University of Jerusalem. I have ~10 years of hands-on programming in Python and C/C++, currently researching deep learning architectures and Explainable AI for national data.
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VISITOR WARNING
The repositories below are primarily academic artifacts.
They are incomplete, unmaintained, and held together by duct tape and student tears.
Do not expect production code. Expect "it worked on my machine 5 minutes before the deadline" code.
- Languages: Python, SQL, C/C++, Bash, R, JavaScript/TypeScript, Assembly
- ML/DL: PyTorch, scikit-learn, NumPy, OpenAI API, Hugging Face, LangGraph
- Data: pandas, Apache Spark, Google BigQuery, ElasticSearch
- Visualization: Matplotlib, Seaborn, Altair, Tableau
- Infrastructure: Docker, FastAPI, Redis, Git, CI/CD pipelines
- Environments: Jupyter Notebooks, VS Code
Most of my work as a developer is in private repos or other GitHub accounts. Projects here are mainly related to the Hebrew University or to job-related assignments.
- Simulations in Statistics (52001)
- Natural Language Processing (67658) -- repo coming soon
- Time Series Analysis in the Context of Climate Change (52028) -- repo coming soon
- Foundations of Spatial Statistics (40733) -- repo coming soon
- Topics in Estimation from Sample Surveys (52750) -- repo coming soon
- Advanced Geoinformatics Applications (40834) -- repo coming soon
- Computer Graphics (67609)
- Generative Models (67721)
- Image Processing (67829)
- Intro to Deep Learning (67822)
- Signal Processing for ML (52419)
- Big Data Mining (52002)
- Principles & Applications in Statistical Analysis (52221)
- Statistical Learning & Data Analysis (52525)
- Data Analysis with R (52414)
- Regression & Statistical Models (52571)
All completed under 24 hours while learning new technologies. I plan to rewrite them completely into dedicated projects.
- azure-microservice-rag -- RAG microservice on Azure
- LangGraphTask -- from a stealth startup
- HIL-ML-classification-pipeline
private(production ready project) - HUJI Hackathon 2025 -- AI-driven full-stack app, built in 24 hours, at the 2025 HUJI hackathon. See the presentation in this repo, it's pretty cool! I plan on making a new project out of this, to be polished and to use orchestration and a RAG system.
- Research Data Scientist (Nov 2025 -- Present) @ CBS -- Statistical Methodology Dept.
Researching neural architectures (MLPs, RNNs, LSTMs, GRUs, Transformers) for large-scale time-series forecasting and anomaly detection. Methodological research on Explainable AI (xAI) to validate neural network behavior against classical statistical frameworks. - ML/AI Engineer (May 2025 -- Oct 2025) @ CBS
- Data Analyst (Jan 2025 -- May 2025) @ CBS
- Python Tutor (2024 -- 2025) @ Hebrew University
- IT & Automation Specialist (2022 -- 2024) @ Hebrew University
- Final year (graduating Aug 2026) Statistics & Data Science (with advanced CS coursework) @ The Hebrew University of Jerusalem
- Relevant courses (full list): Deep Learning, Generative Models, Image Processing, NLP, Computer Graphics, Signal Processing, Big Data Mining, Time-Series Forecasting in Finance, Classical Machine Learning, Data Structures & Algorithms, Python Programming, Analysis with R, Multi-Variable Regression, Inference, Modeling & Analysis, Linear Algebra, Probability 1 & 2, Calculus 1 & 2, ArcGIS, Microeconomics & Macroeconomics