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Yashvj22/README.md

πŸ‘‹ Hi, I'm Yash Jadhav!

Aspiring Data Scientist | Python Developer | MySQL | PowerBI | Apache Hadoop | Apache Sqoop | Apache Hive

Welcome to my GitHub profile! I'm a passionate tech enthusiast exploring the fascinating world of data and programming. Here's a bit about me:


About Me

  • πŸŽ“ Fresher with expertise in Data Science, Data Engineering, and Data Analysis.
  • πŸ” Actively seeking opportunities to create impactful solutions using data.
  • πŸ’‘ Continuously learning and working on innovative projects to expand my skill set.

Skills and Tools

Python SQL Pandas NumPy Polars Streamlit Power BI Machine Learning Excel Matplotlib Seaborn

🌟 Highlighted Projects

  • Analyzing-Consumer-Trends-in-Protein-Supplements-Using-Exploratory-Data-Analysis: Analyzed consumer trends in the protein supplement market using EDA techniques to help consumers make informed choices and assist businesses in optimizing their product strategies.
  • UPI Transaction Data Analysis: Interactive Power BI dashboard allows stakeholders to track and monitor monthly transaction volumes, payment methods, and city-wise distributions efficiently.
  • Library Management System: Designed a SQL-based system to manage and analyze library data, including advanced analytical queries for retrieving book and borrower information.

πŸ“« Connect with Me

Feel free to explore my repositories and reach out for collaborations or discussions! πŸš€

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  1. Analyzing-Consumer-Trends-in-Protein-Supplements-Using-Exploratory-Data-Analysis- Analyzing-Consumer-Trends-in-Protein-Supplements-Using-Exploratory-Data-Analysis- Public

    This project analyzes protein supplement data scraped from Flipkart to uncover key insights into pricing, consumer preferences, brand dominance, and market trends

    Jupyter Notebook

  2. Library_Database_Analysis Library_Database_Analysis Public

  3. OpenCV_Animation OpenCV_Animation Public

    Jupyter Notebook

  4. UPI_Transactions_Analysis_PowerBI UPI_Transactions_Analysis_PowerBI Public

    This project provides an in-depth analysis of UPI transactions using Power BI, featuring interactive dashboards with trend analysis, transaction patterns, and insights on user behavior. Key visuali…