Portfolio - SREEPRADH DINGARI | Codebasics

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Hello, I am

SREEPRADH DINGARI

Data Aspirant

Resume

1

Excel
Project

1

PowerBI
Project

About

Me

Welcome to my portfolio! I'm an aspiring Data Analyst with a Bachelor's degree in Bio-Tech. My journey into data analysis began with a realization of my talent in this field, leading me to delve into self-learning and gain hands-on experience. Proficient in Excel, PowerBI, SQL, and Python, I efficiently analyze intricate datasets, deriving meaningful insights.

While lacking professional experience, I've undertaken various business projects, strengthening my skills and showcasing my capabilities. Explore my portfolio for details on these projects, demonstrating my expertise and problem-solving ability.

Thriving in dynamic environments, I apply my analytical mindset to solve real-world problems. My commitment to continuous growth and passion for data-driven decision-making make me an ideal Data Analyst candidate.

Thank you for visiting my portfolio. I eagerly anticipate connecting with recruiters who value the power of data for organizational success.

Key

Skills

Sql

Python

My

Projects

Sales Analytics

Sales Analytics

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

Business Insights 360

AtliQ Hardwares is a consumer electronics company expanding rapidly but is not able to compete with other companies using data as most of their report still exists in Excel. My goal is to implement an advanced analytics solution using Power BI that will enable the company to get insights and make in

Contact Me

Email

[email protected]

Github

https://github.com/sreepradh/

Linkedin

https://www.linkedin.com/in/sreepradh-dingari-b1b5b3253/

Call

+91 7674003279

SREEPRADH DINGARI

Data Aspirant

Download Resume

Resume

Excel Project

Sales Analytics

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
on GitHUB

Sales Analytics

Provides net sales performance of each customer across years

Sales Analytics

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

Business Insights 360

AtliQ Hardwares is a consumer electronics company expanding rapidly but is not able to compete with other companies using data as most of their report still exists in Excel. My goal is to implement an advanced analytics solution using Power BI that will enable the company to get insights and make in

View Project
Engagement

Business Insights 360

User-empathetic landing page as a part of dashboard design

Business Insights 360

Data modelling involving 10+ tables

Project Details

n 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 & Supply Chain metrics

Live Interactive Dashboard