K M DINESH

Data Analyst

Hello, I am

K M DINESH.

1

Excel
Project

4

PowerBI
Projects

1

SQL
Project

About Me

Welcome to My Data Analyst Portfolio!

I’m K M Dinesh, a Data Analyst at GWC Data.Ai, working on real-time projects involving data integration, performance analytics, and business intelligence to drive actionable insights.

I hold certifications in:
✅ Databricks Certified Data Engineer Associate | ✅ DOMO Certified

Skills:
Python | MySQL | PySpark | SparkSQL | Power BI | Tableau

At GWC Data.Ai, I’ve developed scalable pipelines, automated reporting systems, and built interactive dashboards that empower data-driven decisions across teams.

I’m also expanding my expertise into AI Engineering and Data Science, aiming to build advanced ML solutions and stay at the forefront of innovation.

Passionate about data, driven by curiosity, and committed to continuous learning—my goal is to solve real-world problems and deliver value through data.

Key Skills

MySQL

Python

Tableau

PySpark

SparkSQL

SSMS

DOMO

Databricks

My Projects

Project Title: Sales Analytics(FMCG)

Domain/Function: Revenue

Provide Insights to the Revenue Team in the Hospitality Domain

Domain/Function: Hospitality

Business Insights 360 Dashboard for Finance, Sales, Marketing and Supply Chain

Domain/Function: Business Insights 360

Ad-Hoc Analysis at Atliq Hardwares

Domain/Function: Consumer Goods

EV Market Expansion Strategy for India- Resume Challenge #12

Domain/Function: Automotive

Pilot Project Requirements

Domain/Function: Shield Insurance Analytics

My Experience

GWC Data.Ai – Data Analyst
Oct 2024 – Present

Built and maintained end-to-end data pipelines using Databricks, PySpark, and SparkSQL, efficiently processing structured and semi-structured data for business analysis and reporting.
Utilized Python (Pandas, NumPy) to transform raw data into structured DataFrames, preparing high-quality datasets used for visualization, analytics, and AI training.
Prepared and engineered data to train Agentic AI systems, focusing on data cleansing, labeling, and contextual transformation to optimize AI learning performance and reliability.
Designed and developed dynamic dashboards in Power BI, Tableau, and DOMO, enabling real-time business insights across retail, logistics, and finance verticals.
Automated ETL workflows and reporting processes, significantly reducing manual data handling and increasing operational efficiency.
Collaborated with cross-functional stakeholders to understand requirements, deliver insight-driven reports, and ensure alignment with business goals.
Continuously explored AI and ML advancements to align current analytical workflows with future Data Science and AI Engineering goals.

Awards & Certificate

Excel: Mother of Business Intelligence

Get Job Ready: Power BI Data Analytics for All Levels 3.0

SQL Beginner to Advanced For Data Professionals

Data Analytics Bootcamp 4.0: With Practical Job Placement Support + AI for Data Analysts

Databricks Certified Data Engineer Associate

Major DOMO v2

Let's Connect

Feel free to get in touch with me. I am always open to discussing new projects, creative ideas or opportunities to be part of your visions.

https://www.linkedin.com/in/kmdinesh/

GitHub

https://github.com/dinesh6351

Excel Project

Project Title: Sales Analytics(FMCG)

Domain/Function: Revenue

Created 2 reports for the sales team which will help them to evaluate customer performance and understand their market performance with respect to their target.

View Project
Engagement

View Project
on GitHUB

Customer Performance Report: Provides net sales performance of each customer across years

Market performance vs Target report across years: Enables stakeholders to assess the country's performance and compare it to set targets.

Project Details

In this project, I created a sales report using excel pivot tables which will enable businesses to determine effective customer discounts, facilitate negotiations with consumers, and identify potential business expansion opportunities in promising countries. The reports generated will provide actionable insights and recommendations for businesses to optimize their sales strategies, enhance customer satisfaction, and maximize revenue generation.

I have learned the following:

1. Pivot table
2. Power Query
3. DAX (Basics)
4. Conditional Formatting
5. Report Beautification
6. Sales Domain Metrics

Overall, this project aims to empower businesses with the necessary tools and insights to monitor, evaluate, and enhance their sales activities. By leveraging sales data analysis, businesses can unlock new opportunities, drive growth, and stay competitive in the dynamic market landscape.

PowerBI Project

Provide Insights to the Revenue Team in the Hospitality Domain

Domain/Function: Hospitality

Atliq Grands, a luxury/business hotel chain, expanding rapidly but is not able to compete with other hotels using data as most of their report still exist in Excel. My goal is to implement an advanced analytics solution using Power BI that will enable to get insights and make informed decisions.

View Project
Engagement

View Project
on GitHUB

User landing page as a component of the main dashboard design

Data modelling involving 5+ tables

Project Details

Atliq Grands, a luxury hotel chain, is losing market share and revenue. Your goal as a data analyst is to create a report for stakeholders in the Revenu Insight Hospitality executive team, focusing on robust data modeling, user-empathetic design, and drillable insights.
1. Robust Data Modeling
2. User-empathetic Report design
3. Drillable Insights

I learned the following things in this project

1. Power Query (Basic and Advanced Operations)
2. Basic and complex DAX formulas
3. Data modelling involving 5+ tables
4. Choosing the right visuals and formatting
5. Dashboard designing principles
6. Using Tooltips
7. Stakeholder Feedback Implementation
8. RevPar, DSRN, ADR, DBRN & DURN Measures

Project video

PowerBI Project

Business Insights 360 Dashboard for Finance, Sales, Marketing and Supply Chain

Domain/Function: Business Insights 360

AtliQ Hardwares, a rapidly expanding consumer electronics company, struggles to compete due to reliance on Excel reports. My goal is to implement Power BI for advanced analytics, enabling better insights and informed decisions.

View Project
Engagement

View Project
on GitHUB

User-empathetic landing page as a part of dashboard design

Data modelling involving 10+ tables

Project Details

Project Description:

In this project, the goal is to be one report which could be used by stakeholders from sales, marketing, finance and executive team. The focus is made on the following

1. Robust Data Modeling
2. User-empathetic Report design
3. Drillable Insights

I learned the following things in this project

1. Power Query (Basic and Advanced Operations)
2. Basic and complex DAX formulas
3. Data modelling involving 10+ tables
4. Choosing the right visuals and formatting
5. Dashboard designing principles
6. Using bookmarks
7. Deploying in Power BI service
8. Stakeholder Feedback Implementation
9. Sales, Marketing, Finance, Executive View & Supply Chain metrics

Project video

Live Interactive Dashboard

SQL Project

Ad-Hoc Analysis at Atliq Hardwares

Domain/Function: Consumer Goods

This project involves conducting a series of SQL queries to address 10 ad-hoc requests from the management of Atliq Hardwares. The aim is to extract meaningful insights from the company's data to inform decision-making and present the findings in a clear, engaging format for top-level executives.

View Project
Engagement

View Project
on GitHUB

Customer Sales Process at Atliq Hardwares

Fiscal Quarterly Year Sales Analysis

Project Details

✨Situation:
Atliq Hardwares is one of the leading computer hardware producers in India and well expanded in other countries too.
They want to expand their data analytics team to get enough insights to make quick and smart data-informed decisions.
Tony Sharma, their data analytics lead decided to conduct a SQL challenge which will help him hire someone who is good at both tech and soft skills.
✨Task:
Run a SQL query to answer 10 ad-hoc requests for which the company needs insights
Convert it into visualizations and present the Insights to the top-level management
✨Action
✅Analyze Atliq Hardwares' data needs and design 10 SQL queries addressing key business questions.
✅Execute the queries, gather results, and convert them into visualizations for better understanding.
✅Prepare a comprehensive presentation to showcase insights to top-level management.
✨Tools
🛑𝐌𝐲𝐒𝐐𝐋 - to query the database
🛑𝐏𝐨𝐰𝐞𝐫 𝐁𝐈/Excel - to visualize the data
🛑𝐏𝐨𝐰𝐞𝐫𝐏𝐨𝐢𝐧𝐭 - to present Insight

Project video

PowerBI Project

EV Market Expansion Strategy for India- Resume Challenge #12

Domain/Function: Automotive

The EV Market Expansion for India aims to analyze the electric and hybrid vehicle market to support AtliQ Motors' expansion. The study will explore market trends, consumer preferences, competition, and growth opportunities to help AtliQ Motors increase its market share from less than 2% in India.

View Project
Engagement

View Project
on GitHUB

User-empathetic landing page as a part of dashboard design

Data modelling involving 3+ tables

Project Details

Project Description:

In this project, the goal is to perform a comprehensive market analysis for AtliQ Motors to support their expansion into the Indian electric and hybrid vehicle market. The focus is on:

1) Detailed Market Study: Analyzing market trends, consumer behaviour and competitive landscape.
2) Strategic Insights: Identifying growth opportunities and formulating actionable recommendations.
3) Dashboard Design: Creating a self-explanatory dashboard to present key metrics and findings.

I learned the following things in this project

1. Power Query (Basic and Advanced Operations)
2. Basic and complex DAX formulas
3. Data modelling involving 3+ tables
4. Choosing the right visuals and formatting
5. Dashboard designing principles
6. Using bookmarks
7. Deploying in Power BI service
8. Stakeholder Feedback Implementation
9. States, Makers and Geographical View
10. Create Two Dashboard

Project video

Live Interactive Dashboard

PowerBI Project

Pilot Project Requirements

Domain/Function: Shield Insurance Analytics

**Pilot Project Requirements** involves analyzing customer and revenue data for Shield Insurance to track growth and identify trends. The project includes segmenting data by age group, city, and sales mode. Key deliverables are trend graphs and insights for informed decision-making.

View Project
Engagement

Home

Data Model

Project Details

The Pilot Project Requirements for Shield Insurance includes:

1) Customer and Revenue Analysis: Track daily and monthly growth rates for customers and revenue.
2) Trend Monitoring: Observe policy changes and identify month-over-month trends.
3) Segmentation Analysis: Segment data by age group and city for detailed insights.
4) Trend Graphs: Create interactive graphs for revenue and customer trends, with filtering options.
5) Sales Mode Analysis: Develop a dedicated page to analyze sales modes and their impact on revenue and customer base.
6) Age Group Analysis: Provide a separate page for analyzing age group impacts on business, including settlement patterns and policy preferences.

The project aims to deliver actionable insights to refine strategies, enhance marketing, and improve business performance.