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tarunkumar7906/README.md

Tarun Kumar - Data Analytics

Hi, I'm Tarun Kumar 👋

Aspiring Data Analyst | Data Analytics & Business Intelligence

I'm a B.Sc. Mathematics student passionate about using data, statistics, and analytical thinking to solve real-world problems. I enjoy transforming raw data into meaningful insights, building interactive visualizations, and using data to support better business decisions.

I'm currently building hands-on projects across Data Analytics, Business Intelligence, Statistics, and Machine Learning.

🛠 Tech Stack & Tools

Languages: Python, SQL

Data Analysis: Pandas, NumPy, Statistics, Exploratory Data Analysis

Data Visualization: Power BI, Matplotlib, Seaborn, Plotly

Databases: MySQL, PostgreSQL

Machine Learning: Scikit-learn, Regression, Classification, Model Evaluation

Tools: Microsoft Excel, Jupyter Notebook, Git, GitHub

🚀 Featured Projects

📌 Uber Ride Analysis

  • Overview: Analyzed 150,000+ NCR ride bookings using Python to evaluate booking trends, operational bottlenecks, and financial performance.
  • Key Findings: Identified a 62% completion rate, analyzed ₹4.7Cr in total revenue, and examined 27,000 driver cancellations.
  • Tech Stack: Python, Pandas, Matplotlib, Seaborn, Plotly

📌 Car Sales Analysis

  • Overview: Performed exploratory data analysis on 20,000+ car sales records to identify key metrics, pricing trends, and sales performance indicators.
  • Tech Stack: Python, Jupyter Notebook

📌 Music Store SQL Analysis

  • Overview: Conducted deep-dive SQL queries on a digital music store database to analyze customer purchasing behavior, top tracks, and genre popularity.
  • Tech Stack: PostgreSQL, SQL

📌 Customer Churn Analysis

  • Overview: Analyzed customer retention and churn patterns to evaluate key drivers affecting customer loss.
  • Tech Stack: Microsoft Excel, Python

📬 Connect with Me

Pinned Loading

  1. car-sales-analysis car-sales-analysis Public

    Analyzed 20000+ records of car sales data and find valuable key insights and metrics.

    1

  2. uber-ride-analysis uber-ride-analysis Public

    Analyzed 1,50,000 NCR ride bookings using Python. 62% completion rate, ₹4.7Cr total revenue, 27,000 driver cancellations. Built 10+ visualizations using Pandas, Matplotlib, Seaborn, and Plotly.

    Jupyter Notebook 1

  3. Customer-Churn-Analysis Customer-Churn-Analysis Public

    Customer Churn Analysis using excel

  4. Ecommerce-sales-analysis Ecommerce-sales-analysis Public

  5. music-store-sql-analysis music-store-sql-analysis Public

    SQL analysis project on a Music Store database using PostgreSQL

  6. netflix-eda-python netflix-eda-python Public

    Jupyter Notebook