Hi there! Welcome to my Github Profile! 👋

👋 Greetings, I'm Aakruti Shah, aka @aakruti4932

💡 With a passion for unraveling the stories hidden in data, I'm your go-to Data Analyst at BSH Home Appliance Group.

🌐 From deciphering Python scripts to navigating the intricacies of SQL and crafting compelling visualizations with tools like POWER BI and TABLEAU, I thrive on turning data into actionable insights.

🤜🤛 Let's collaborate on projects that spark curiosity and innovation, transforming raw data into knowledge. Whether it's unraveling the complexities of spreadsheets or diving deep into the world of data science, count me in!

💻 Explore my GitHub repository for a journey through my data adventures, and feel free to connect with me on LinkedIn for more data-driven conversations.

🚀 Together, let's elevate the art of data analysis and create solutions that make a meaningful impact!

BI Projects Link

Certifications:

Google Business Intelligence Professional Certificate

Master in Data Analyst

Aakruti Shah's Projects

amazon-sales-data-analysis

This project involved a thorough analysis of sales data from Amazon merchants. I focused on understanding, cleaning, and exploring the 'sales_data.xlsx' file to provide actionable insights. The goal is to empower Amazon sellers with valuable information to enhance their strategies and improve performance on the platform.

deforestation_exploration_sql

An Exploration of the Global Deforestation Trends from 1990 to 2016. This project was done using SQL connecting multiple tables to one another with data obtained from the World Bank. This report contains findings and insights that brings to light areas of concern as well as opportunities to address the rapid deforestation rate globally

nyse_data_analysis

In this project we analyze real life data from the New York stock exchange. Here I used a subset of a large dataset provided by Kaggle that contains historical financial data from S&P companies.

tesla_battery_survey

Understand range degradation of Tesla vehicles based on crowd-sourced statistics of owner-reported range estimates.

web-scraping-of-github-topics

Dive into GitHub Web Scraping—an automated Python project using Requests and BeautifulSoup. Extract topic details and scrape top repositories effortlessly, storing data in CSV files for seamless analysis. Contribute and explore GitHub data efficiently. 🚀💻

Recommend Projects