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Achievement: Pull Sharkx2Achievement: YOLO

Achievements

Achievement: Pull Sharkx2Achievement: YOLO

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ParisaKalaki/README.md

Hi there 👋 I'm Parisa

Welcome to my GitHub profile! I'm a Data Science student with a strong interest in Data Engineering and Data Science, and I enjoy building end-to-end data solutions.

  • 🔭 I’m currently working on projects that involve data ingestion, cleaning, transformation, and building machine learning models.
  • 🌱 I’m learning more about data pipelines, cloud technologies, and data engineering workflows, while strengthening my skills in Python and SQL.
  • 🧠 I have experience with data preprocessing, exploratory data analysis (EDA), model building, and evaluation using machine learning techniques.
  • ⚙️ I’m also interested in designing data pipelines, working with data modeling, and understanding how to orchestrate workflows.
  • 📊 I enjoy turning data into insights through visualization and dashboards (e.g., Power BI).
  • 👯 I’m open to collaborating on data-driven projects, especially those involving data engineering, machine learning, or analytics.

Thanks for visiting! 🚀

Languages and Tools:

cplusplus css3 docker express git html5 java javascript jest matlab mongodb mysql nodejs pandas postgresql postman python react redux scikit_learn seaborn sqlite svelte

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  1. Airbnb-ELT-Pipeline-Airflow-dbt Airbnb-ELT-Pipeline-Airflow-dbt Public

    Production-ready ELT pipeline for Airbnb listing data using Apache Airflow for orchestration and dbt Cloud for data transformations, built on PostgreSQL with Medallion Architecture (Bronze → Silver…

    Python

  2. nyc-taxi-fare-analysis-spark nyc-taxi-fare-analysis-spark Public

    Data processing and predictive modeling on NYC taxi dataset using Databricks Spark and Machine Learning (Linear Regression & Gradient Boosting).

    Jupyter Notebook

  3. Airbnb_Sydney_ELT Airbnb_Sydney_ELT Public

    This repository provides the ELT pipeline models, orchestrated by Airflow and executed via dbt Cloud, to build a Medallion Architecture data warehouse from Sydney Airbnb and Census data.

  4. Customer-Personality-Analysis Customer-Personality-Analysis Public

    📊 A customer segmentation and marketing campaign prediction project using clustering, PCA, and machine learning. The goal is to identify key customer segments and predict campaign responses to enab…

    Jupyter Notebook

  5. Marketing-Campaign Marketing-Campaign Public

    📣 Predict customer subscriptions in telecom marketing using Logistic Regression and XGBoost. Includes EDA, SMOTE, SHAP, and business insights.

    Jupyter Notebook 1

  6. info-aggregator-api-scraper info-aggregator-api-scraper Public

    A Python-based information aggregator that collects and combines data from web APIs and web scraping sources. Built with object-oriented programming, unit testing, and a graphical user interface (G…

    Python