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vardhanchavan156/README.md

Hi there 👋

Welcome to my GitHub profile! I'm Vardhan Chavan, a passionate data enthusiast with a strong foundation in Python, SQL, Power BI, Excel, and Machine Learning. I love exploring data, building insights, and solving real-world problems through analytics and technology.

🔭 What I’m Currently Working On

  • Analyzing datasets to uncover trends and actionable insights.
  • Building interactive dashboards using Power BI.
  • Developing machine learning models for predictive analytics.

🌱 What I’m Currently Learning

  • Advanced Machine Learning techniques and algorithms.
  • Deep diving into Generative AI and its applications.
  • Enhancing my skills in Big Data tools like Apache Spark.

👯 Looking to Collaborate On

  • Data analysis and visualization projects.
  • Open-source contributions in the data science domain.
  • Innovative projects involving AI/ML and data-driven solutions.

🤔 Looking for Help With

  • Optimizing machine learning models for better performance.
  • Exploring new tools and frameworks in the data ecosystem.

💬 Ask Me About

  • Data analysis, visualization, and storytelling.
  • Python programming and SQL queries.
  • Building end-to-end data projects.

📫 How to Reach Me

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  1. Aviation-Performance-Analysis Aviation-Performance-Analysis Public

    Analyzing key performance indicators (KPIs) in the aviation industry using data analytics and machine learning. This project explores flight delays, aircraft utilization, revenue, and operational e…

    Jupyter Notebook

  2. Stat_Seekers Stat_Seekers Public

    Airbnb price distribution across the Europe cities

    Jupyter Notebook

  3. 9867 9867 Public

    Predicting whether a customer will subscribe to a term deposit using Machine Learning and Power BI. This project includes EDA, feature engineering, classification models (Logistic Regression, Rando…

    Jupyter Notebook

  4. B43_DA_066_Behavioral-Data-Analysts B43_DA_066_Behavioral-Data-Analysts Public

    The Flight Fare Estimator is a machine learning-based project that predicts flight ticket prices based on various factors like airline, travel date, source, destination, duration, and more.

    Jupyter Notebook

  5. Query-Quests Query-Quests Public

    Mobile User Data Analysis using Power BI and Python to uncover insights on user behavior, data consumption, and device performance.

    Jupyter Notebook

  6. InnoByte-Services-amazon-sales-dashboard InnoByte-Services-amazon-sales-dashboard Public

    Amazon Sales Dashboard built during internship at Innobyte Services. Data cleaned with Python, stored in MySQL, and visualized in Power BI to analyze sales performance, customer behavior, fulfilmen…

    Jupyter Notebook