Vinayak Kongari

Hey, My name is Vinayak Kongari

Detail-oriented Data Analyst with hands-on experience in Python, SQL, Excel, and Power BI, adept at transforming raw data into actionable insights. Proficient in data visualization, trend analysis, and optimizing business performance through data-driven decision-making.

About Me Data Analyst specializing in translating raw data into strategic business insights, committed to driving informed decision-making through analytical excellence.

Get to know me!

Hey! It's Vinayak Kongari and I'm a passionate Data Analyst based in Mumbai. With a solid foundation built through an Internship at YBI Foundation, I’ve honed my skills in transforming data into strategic insights.

My journey has been marked by successful projects across various tools and languages, each sharpening my ability to deliver impactful solutions.Feel free to contact me here.

Resume

My Skills

Python
SQL
MySQL
MS-SQL
Excel
Power BI
Tableau
Pandas
Numpy
Matplotlib
Seaborn
Model Development
Data Analysis
Github
Data Visualizations

Projects Explore my Portfolio of projects, where data meets strategy to deliver impactful business solutions.

Software Screenshot

Slice of Success-SQL

This project aims to analyze the sales data of Pizza Hut Store to derive actionable insights and improve business strategies. Utilizing four interconnected datasets—pizzas, pizza-types, orders, and order-details—we explored various aspects of sales performance, customer preferences, and ordering patterns.

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Credit Metrics Hub-Power BI

This project involves creating a comprehensive financial dashboard using Power BI to analyze credit card transactions and customer data. The dashboard provides insights into revenue, transaction amounts, customer demographics, and more. The goal is to help stakeholders understand financial performance and customer behavior.

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Software Screenshot

Analyzing Walmart's Branch Performance-Python

This project involves analyzing Walmart's sales data to uncover trends and provide actionable insights that can drive better sales strategies across different branches and product lines. By leveraging Python's data analysis capabilities, the project aims to identify key factors influencing sales and recommend strategies for optimization.

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Software Screenshot

Mocha Metrics-Excel

This project analyzes sales data from a coffee shop to uncover trends, patterns, and insights that can help improve business strategies. The dataset includes detailed transaction information such as dates, times, store locations, product details, and sales amounts. Using this data, we perform various analyses and visualizations to gain a deeper understanding of sales performance.

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