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vibvinit/README.md

Hi, I'm Vineet — a data analyst, passionate about turning data into insights.

Welcome to my GitHub page, where I showcase real-world projects.

About Me

I'm a data analyst passionate about transforming raw data into actionable insights. My expertise lies in Excel, SQL, and Power BI, and I enjoy creating interactive dashboards and analytical reports that drive informed decision-making.

Professional background

  • Sales - over 10 years of experience as BDM
  • Retail - over 10 years of experience as Category Manager

Education:

  • Pursuing a Postgraduate Program in Data Analytics from Purdue University
  • Diploma in Retail Management
  • Bachelor's in Computer Science

Interests:

  • Excel, Python & SQL
  • Data Visualisation
  • Business Intelligence
  • Machine Learning
  • Artificial Intelligence

Project Portfolio

Microsoft Excel Projects

Project 1: Build an e-commerce sales dashboard

This project was part of the PG program, in which I used Excel to create an e-commerce sales dashboard. The dashboard displays the KPIs and insights for management.

  • Created User Control Combo boxes for Product Category and Regions
  • Created tables and pivot tables, and created links with the combo boxes
  • Build visualisations to display sales trends

Project 2: Restaurant Tips Prediction

This project was also part of the PG program, in which I used advanced analytics (linear regression) to predict the restaurant tips. Tasks performed:

  • Data cleaning and handling missing values
  • Standardised the categorical variables
  • Used linear regression to predict the restaurant tips

Project 3: NYC Traffic Safety Analysis

Analysed New York City's traffic accident data to identify key factors contributing to collisions. The project involved:

  • Data cleaning
  • Exploratory data analysis
  • Visualisation to uncover trends and provide actionable recommendations for improving road safety.

SQL Projects

Project 4: Air Cargo SQL Project

This project was part of the PG program, in which passenger and flight data were analysed. Some key objectives were to:

  • Identify regular customers
  • Find the busiest routes
  • categorise flights in 3 categories - short distance travel (SDT), intermediate distance travel (IDT), and long-distance travel (LDT)
  • and many more

Project 5: ScienceQtech Employee Performance

This project was part of the PG program, in which employees' ratings, performance and projects undertaken were analysed. Some key objectives were to:

  • Identify employees based on department
  • Assign ranks based on experience
  • Calculate bonuses for employees based on ratings and salary

Project 6: Advanced SQL Major League Baseball (MLB)

This project required the use of advanced SQL queries such as subqueries, CTEs, and window functions. Some key objectives were to:

  • What schools do MLB players attend?
  • How much do teams spend on player salaries?
  • What does each player’s career look like?
  • How do player attributes compare?

Power BI Projects

Project 7: Maven Toys Store KPI Report

This was the first Power BI project I undertook. It involved:

  • Profiled and cleaned the data
  • Built a relational model
  • Defined KPI's
  • Created measures using DAX
  • Built an interactive report

Project 8: Pixar Films - Storytelling with visualisation

This project was done as part of the Maven monthly challenge. It involved:

  • Analysing Pixar films released from 1995 and 2024
  • Define KPIs and create measures using DAX
  • Build visualisations to share the insights
  • Provide key findings

Project 9: Customer Loyalty dashboard - dataDNA_July2025_Challenge

This project was done as part of the dataDNA July, 2025 challenge. It involved:

  • Define KPIs and create measures using DAX
  • Build visualisations to share the insights
  • Provide key findings
  • Provide strategic recommendations

Project 10: Ace_Superstore Sales Dashboard - RDAMP Mentorship Program

This project was done as part of the RDAMP mentorship program. It involved:

  • Perform ETL
  • Define KPIs and create measures using DAX
  • Build visualisations to share the insights
  • Provide key findings
  • Provide strategic recommendations

Project 11: Sports Injuries Analysis - FP20 Analytics Challenge 29

This project was completed as part of the FP20 Analytics Challenge 29. It involved:

  • Exploring the data
  • Creating the date table
  • Create a data model
  • Define KPIs and create measures using DAX
  • Build Visualisations to share the insights
  • Share the key insights
  • Share recommendations

Multi-tools Projects

Project 12: Ace_Superstore_SQLView_Data_modeling_Dashboard - RDAMP Mentorship Program

This project was done as part of the RDAMP mentorship program. It involved working with SQL and PowerBI:

  • Create the database and tables in SQL
  • Create Views in SQL
  • Create a schema in SQL
  • Connect PowerBI with SQL to import Views
  • Build visualisations

Project 13: Rychtenshane_Community_Housing_Group_LMS_Analytics

This group project was done as part of the RDAMP mentorship program. It involved working with Excel, Python and PowerBI:

  • Perform Data Cleaning
  • Perform EDA
  • Create a data model in PowerBI - Snowflake
  • Define KPIs and create measures
  • Perform statistical analysis in python
  • Create PowerBI report to present key insights
  • Propose strategic recommendations
  • Propose future KPIs

Let's Connect

Feel free to explore my repositories for more projects and insights into my work.

Popular repositories Loading

  1. Air-Cargo-SQL-Project Air-Cargo-SQL-Project Public

    1

  2. RDAMP-Dimensional-Model-PowerBI- RDAMP-Dimensional-Model-PowerBI- Public

    1

  3. dataDNA_July2025_Challenge dataDNA_July2025_Challenge Public

    Customer Satisfaction and Loyalty Analytics Challenge

    1

  4. vibvinit vibvinit Public

    Config files for my GitHub profile.

  5. skills-introduction-to-github skills-introduction-to-github Public

    My clone repository

  6. data_analytics_ecommerce_sales_dashboard data_analytics_ecommerce_sales_dashboard Public

    eCommerce Sales Dashbooard