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Hello, I am

JIGNESH PANDYA

Data Aspirant
Resume
JIGNESH PANDYA

1

Excel
Project

2

PowerBI
Projects

1

SQL
Project

About

Me

👋 Hello there! I'm on a mission to make sense of data, using tools like Excel, Power BI, SQL, and Python. My journey began with a degree in Physics and Mathematics, where I honed my analytical and problem-solving skills. However, my true calling was discovered in the realm of data analysis.

While I haven't officially worked for a company yet, I've taken on various real-world projects, all of which you can see in my portfolio below. Each project showcases my passion for solving problems with data.

In my portfolio, you'll find these projects that highlight my skills and dedication. I invite you to take a look and see how I can turn data into valuable insights.

Let's team up and explore the exciting world of data together – where numbers aren't just numbers, but gateways to smarter decisions. Connect with me, and let's start this data-driven journey!

Key

Skills

MySQL

CPMMUNICATION

STAKEHOLDER MANAGEMENT

PRESENTATION

My

Projects

Project Title: Sales Analytics(FMCG)
Project Title: Sales Analytics(FMCG)

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.

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

AtliQ Hardwares, a fast-growing consumer electronics company, aims to enhance its competitiveness through data-driven insights.My goal is to implement an advanced analytics solution using Power BI that will enable the company to get insights and make informed decisions.

Hospitality Analysis
Hospitality Analysis

"Project: Analyzing 3 months of hospitality data to drive data-driven decisions, aiming for a 20% revenue and market share boost by evaluating total revenue, occupancy rates, and customer ratings."

Sales Insights
Sales Insights

AtliQ Hardware navigated sales challenges in a dynamic market. We employed SQL for data analysis, crafting a Power BI dashboard to drive daily decisions and reverse declining sales.