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vihar023/README.md

👋 Hi, I'm Vihar Patel

I’m a graduate student specializing in Data Analysis who spends my days exploring datasets 📊 and my nights building data-driven tools 🌙. Occasionally, I get distracted tweaking dashboards and charts when I see room for improvement.

🚀 What I’m Up To

  • 🔭 Currently working on:
    • Crafting data-driven business strategies.
    • Building interactive dashboards to visualize trends and performance.
  • 🌱 Improving skills with:
    • Advanced SQL querying and Power BI storytelling.
    • Hands-on Kaggle challenges and case studies.
  • 💬 Talk to me about:
    • Business Analysis for growth opportunities 📊
    • Exploratory Data Analysis (EDA) 🔍
    • Tools: Python (Pandas, NumPy), SQL, Tableau, Power BI, and Excel.

📫 How to Reach Me

LinkedIn   Email

🛠 Things, I work on!

 

 

Catch you on the flip side, legend! 🚀

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  1. Olympic-Power-BI-Dashboard Olympic-Power-BI-Dashboard Public

    The Olympic Power BI Dashboard brings the excitement of the Games to life with interactive visuals and insights. Explore athlete performance, medal counts, and Olympic history in one dynamic platform.

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  2. Thyroid-Disease-Prediction Thyroid-Disease-Prediction Public

    This project predicts thyroid cancer recurrence using machine learning on 15 years of data, with a Random Forest model achieving 98.7% accuracy. It features a patient prediction interface and a Pow…

    Jupyter Notebook

  3. TTC-Delay-Time-Data-Analytics-Report-2014-2024 TTC-Delay-Time-Data-Analytics-Report-2014-2024 Public

    This project analyzes 10 years of TTC bus delay data to find key causes and predict delays with 95% accuracy. It highlights mechanical and operator issues and provides insights through a Power BI d…

  4. Spotify-Data-Pipeline-Project Spotify-Data-Pipeline-Project Public

    In this project, we build an ETL (Extract, Transform, Load) pipeline using the Spotify API on AWS. The pipeline retrieves data from the Spotify API, transforms it into a structured format, and load…

    Jupyter Notebook

  5. HarvestPro-Prediction HarvestPro-Prediction Public

    Machine Learning-based crop recommendation system using Python, Flask, and weather analytics to predict the most suitable crops based on temperature, humidity, rainfall, and geographic location.

    Jupyter Notebook