profile pic

Hello, I'm

Divyangkumar Patel

Data Analyst

Get To Know More

About Me

Master's Degree

Master of Science in Computer Science

University of East London, UK Jan 2023 – Jul 2024

Bachelor's Degree

Bachelor of Engineering in Computer Engineering

Gujarat Technological University, India Jul 2018 – Jun 2022

Experience

bepec Logo

AtliQ Technologies | Internship

Data Analyst

Mar 2025 – Present
bepec Logo

BrainyBeam Technologies PVT LTD | Internship

Python / Django Developer

Jan 2022 – Apr 2022
wipro Logo

Praxware Technologies | Internship

Python Developer

May 2021 – June 2021

Explore My

Skills

skills10

Python

skills1

SQL

skills2

Power BI

skills3

Excel

skills4

Tableau

skills5

AWS

skills7

Pandas

skills8

Numpy

skills11

Matplotlib

skills11

Seaborn

Browse My Recent

Projects

thumbnail

Business Insights 360

skill logo

Business Insights 360


I developed a Power BI dashboard named Business Insights 360 for AtliQ Hardwares, a company specializing in computer hardware sales. This dashboard provides a comprehensive view of their financial, sales, marketing, supply chain, and executive performance. Additionally, it enables them to assess the accuracy of their forecasts and identify areas for improvement.

Project Details

⓵ Home Page:

Objective:

  1. Designed a Home Page that allows users to navigate seamlessly to different sections within the Dashboard.
  2. Each image serves as a navigation link, directing users to its corresponding section.
  • Last Refreshed Date: Displays the most recent database refresh date.
  • Values in Millions ($): All monetary values in the Dashboard are represented in millions of dollars.
  • Sales Data Updated Until (MMM/YY): Indicates the latest available sales data in the database.

⓶ Finance View:

Objective:

  1. Developed a Finance Dashboard to track key financial metrics.
  • KPI Visuals: Displays Net Sales, Gross Margin %, and Net Profit % in comparison with last year’s performance or set targets.
  • Profit & Loss Statement: Provides an overview of the company’s revenue, expenses, and profit/loss over a defined period.
  • Top/Bottom Customers by Net Sales: Highlights key insights into the highest and lowest contributing customers and products based on Net Sales.

⓷ Sales View:

Objective:

  1. Designed a Sales Dashboard to analyze customer and product performance.
  • Customer Performance: Assesses customer contribution based on Net Sales, Gross Margin, and Gross Margin %.
  • Product Performance: Evaluates product contribution using Net Sales, Gross Margin, and Gross Margin %.
  • Performance Matrix: A scatter plot categorizing customers based on Gross Margin % and Net Sales, with the top-right quadrant representing high-performing customers.
  • Key Metrics by Products: Donut charts illustrating key financial metrics such as Net Sales, Post-Invoice and Pre-Invoice Deductions, COGS, and Gross Margin for a fiscal year.

⓸ Marketing View:

Objective:

  1. Developed a Marketing Dashboard to analyze product and market performance.
  • Product Performance: Evaluates Net Sales, Gross Margin, Gross Margin %, Net Profit, and Net Profit %.
  • Region/Market/Customer Performance: Displays customer performance segmented by key metrics, with filters for market and region.
  • Performance Matrix with Dual Filters: A scatter plot showcasing customers based on Gross Margin % or Net Profit % and Net Sales, where customers in the top-right quadrant indicate high profitability.
  • Unit Economics: Insights into individual customer metrics, including COGS and Gross Margin (Donut Chart), as well as Net Profit after operational expenses (Waterfall Chart).

⓹ Supply Chain View:

Objective:

  1. Created a Supply Chain Dashboard to monitor key supply chain metrics.
  • KPI Visuals: Showcases Forecast Accuracy, Net Error, and ABS Error, benchmarked against last year’s performance.
  • Accuracy/Net Error Trend: Monthly trend analysis of Net Error and Forecast Accuracy (current vs. last year) using a Line and Clustered Column Chart.
  • Key Metrics by Products: Displays product-based key metrics relevant to the Supply Chain team.

⓺ Executive View:

Objective:

  1. Developed an Executive Dashboard to provide high-level business insights.
  • KPI Visuals: Presents Forecast Accuracy, Net Sales, Gross Margin %, and Net Profit %, compared to targets or last year’s data.
  • Revenue Distribution: Displays revenue allocation across divisions and channels using Donut Charts.
  • Key Insights by Subzone: Highlights critical regional insights.
  • Yearly Trends: Line and Clustered Column Chart showing Net Sales, Gross Margin %, Net Profit %, and PC Market Share % trends over time.

⓻ Product View:

Objective:

  1. Designed a Product Dashboard to analyze customer and product performance.
  • Customer Performance by GM % Target: Uses conditional formatting to identify customers meeting or missing their Gross Margin % target.
  • Top 5 & Bottom 5 Products by Market: Displays the highest and lowest performing products based on Gross Margin %, Gross Margin % LY, and Growth in Gross Margin %.

⓼ Technical Skills:

  • Expertise in ETL (Extract, Transform, Load) processes.
  • Ability to create date tables using Power Query.
  • Experience in deriving fiscal months and quarters.
  • Data modeling and relationship management in Model View.
  • Incorporating additional datasets into existing data models.
  • Proficiency in DAX for calculated columns and tables.
  • Utilizing various visualization techniques to present key insights.
  • MySQL database integration for data loading and retrieval.
  • Optimized dashboard performance using DAX Studio.
  • Implemented Tooltips to display trends effectively.

⓽ Soft Skills:

  • In-depth understanding of Finance, Sales, Marketing, Supply Chain, and Executive functions.
  • User-focused dashboard design, prioritizing ease of use and clarity.
  • Enhanced dashboard performance by fine-tuning processes and leveraging cloud storage (SharePoint).
  • Strong stakeholder management and requirement gathering skills.

Live Dashboard

thumbnail

Sales and Finance Analytics

skill logo

Sales and Finance Analytics


The AtliQ Sales and Finance Analytics Reports show my work in analyzing customer trends, market performance, and financial health to support better decision-making. I used ETL processes, Power Query, Power Pivot, and DAX to create clear and useful reports with valuable insights.

Excel | AtliQ Sales & Finance Analytics Reports

Project Overview

This project helps businesses analyze sales and financial data to make informed decisions. It provides insights into customer performance, sales trends, and financial health.


📌Sales Report

🎯Goals

Why It’s Important❓

  • Helps businesses track and improve sales.
  • Identifies sales trends and customer buying patterns.
  • Highlights key sales metrics to improve strategies.

How It Helps

  • Determines which discounts and offers work best for customers.
  • Supports better negotiations with clients based on sales history.
  • Identifies new market opportunities for business growth.

📌Finance Report

🎯Goals

Why It’s Important❓

  • Helps businesses understand their financial health.
  • Compares performance with past data and competitors.
  • Guides budgeting and future planning.

How It Helps

  • Aligns financial planning with business goals.
  • Builds confidence among stakeholders and investors.
  • Makes financial reporting clear and easy to understand.

📌Skills Used

Technical Skills

  • Extracting, transforming, and loading (ETL) data.
  • Creating dynamic date tables in Power Query.
  • Setting up relationships between different data sources in Power Pivot.
  • Using DAX formulas to generate key financial metrics.

Soft Skills

  • Strong understanding of sales and finance reports.
  • Creating reports that are easy to use and understand.
  • Making reports faster and more efficient.
  • Planning and organizing reports effectively.

This project helps businesses make data-driven decisions by providing clear and useful insights into their sales and financial performance.

Get in Touch

Contact Me

Let's Connect

I’m a data analyst with expertise in data analysis. I specialize in transforming complex datasets into meaningful insights through interactive dashboards, predictive modeling, and workflow automation. With proficiency in SQL, Python, Power BI, and other analytical tools, I thrive on solving challenges and optimizing data-driven strategies for better decision-making. If you’d like to collaborate, discuss exciting data projects, or just connect, feel free to reach out!