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Achievement: Pull Shark

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Achievement: Pull Shark

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Kokolipa/README.md

Hi 👋 I'm Gal Beeri

About Me:

Forward-thinking Data Scientist with experience in machine learning, LLMs, and cloud-based data platforms. Skilled in using AWS, Python, SQL, Power BI, and cutting-edge AI techniques to design and implement scalable, data-driven solutions that solve complex problems. Results-oriented and passionate about empowering organisations to make data-driven decisions that drive business success.

Technical Knowledge:

  • Machine Learning: Regression, Classification, Unsupervised Clustering, Decision Trees, Boosting, Random Forest, Support Vector Classifier, Anomaly Detection
  • GenAI: Agents (ReAct, Router, Multi-Agents, Conversational) LLMs (PEFT, LoRA, Summarisation, Prompt Eng.) RAG (Multi-source, Self-RAG, Self-query), NLP-based solutions
EDA-gif

Connect with me:

gal beeri gal beeri gal beeri Kokolipa

  • 🌱 I’m currently up-skilling my analysis capabilities at Monash University

  • 💬 Ask me about LLMs, ML, and effective visualisations strategies

  • 📫 How to reach me [email protected]

Languages and Tools:

Languages

  • Python
  • SQL
  • NoSQL
  • Bash
  • DAX
  • VBA

Cloud Platforms

aws ms-fabric docker mlflow langsmith

Analaysis, Machine Learning, Math, and Database Libraries & tools

pandas numpy sk-learn LangChain-LangGraph deepeval huggingface tensorflow scipy
Pydantic Pytest SQLalchemy PySpark excel

Visualisation tools

PowerBI Tableau Dash-Plotly matplotlib seaborn

Webpage Creation and Productivity tools

Flask html5 css3 git figma confluence

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  1. sql-challenge sql-challenge Public

    Design the SQL tables and dependencies to hold the data from the CSV files, import the CSV files into a SQL database, and answer questions about the data.

    2

  2. crime_analysis crime_analysis Public

    Analysing Chicago Crime Data

    Jupyter Notebook 2

  3. leaflet-challenge leaflet-challenge Public

    Creating an interactive Leaflet map to visualise earthquakes data

    JavaScript 2

  4. Nasdaq_100 Nasdaq_100 Public

    Creating an interactive dashboard to explore the Nasdaq 100 share index using APIs to call the data, Python and SQLAlchemy to clean and transform the data, as well as loading the data to a SQLite d…

    Jupyter Notebook 3 1

  5. fraudulent_transactions fraudulent_transactions Public

    Creating a sophisticated web application for transaction analysis, incorporating ML, Bootstrap, Dash, and Plotly. Users can seamlessly upload credit card CSV files, exploring transactions interacti…

    Jupyter Notebook

  6. CleanData-package CleanData-package Public

    Jupyter Notebook 1