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alibardestani/README.md

Hi 👋, I'm Ali Bardestani

Data Engineer | Laravel Backend Developer | Deep Learning Enthusiast

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  • 🔹 Focused on data engineering, backend development, and applied AI
  • 🔹 Experienced in Laravel, Python, MySQL, and scalable backend architectures
  • 🔹 Hands-on experience with deep learning (PyTorch & TensorFlow) for real-world projects
  • 📫 Contact: alibardesstani@gmail.com
  • 🌐 More about me: LinkedIn

🛠️ Core Skills

📊 GitHub Overview

🌐 Connect with Me

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  1. Beijing_Housing_Data_Analysis Beijing_Housing_Data_Analysis Public

    This repository contains a comprehensive analysis of Beijing housing data, including data cleaning, categorical transformation, outlier removal, feature engineering, and advanced visualizations. Th…

    Python 1

  2. RealEstatePricePredictor RealEstatePricePredictor Public

    RealEstatePricePredictor: A Machine Learning Model for Predicting Real Estate Prices

    Python

  3. Sales-Analytics-Insights Sales-Analytics-Insights Public

    A comprehensive Python project for sales data analysis, including data preprocessing, customer segmentation, cohort analysis, and market study. Visualize trends by day, month, and region to uncover…

    Python

  4. books-recommender-system-project books-recommender-system-project Public

    A machine learning-based book recommendation system using Nearest Neighbors and collaborative filtering.

    Jupyter Notebook 1

  5. Football-Shot-Goal-Prediction Football-Shot-Goal-Prediction Public

    This repository presents my solution for the Data Analysis course in Quera, focusing on predicting the probability of football shots resulting in goals using advanced data preprocessing and machine…

    Jupyter Notebook

  6. ResortExplorer-DashApps ResortExplorer-DashApps Public

    Interactive Dash apps for exploring and analyzing ski resort data. App 1 offers map-based visualization with filters for price and night skiing, while App 2 provides bar chart comparisons of resort…

    Jupyter Notebook