"Here's a collection of my data analysis projects. I've done them for acadamic, self-learning, and just for fun. Presented form of in Excel files, Power BI Files, Jupyter notebooks and R markdown files format.
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Power BI
- Historical Sales Data Analysis: Provide insights from the historical sales data to the sales manager of the imaginary company using Power BI.
- Analysis of Hotel Booking Data: Develop a hotel booking database using SQL and connect it to the Power BI to analyze & visualize the data.
- Maven Market Revenue Analysis: Revenue analysis of "Maven Market - a multinational grocery chain" with locations in Canada, Mexico, and the United States.
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Excel Spreadsheets
- eCommarce Store Sales Analysis: Vrinda store is selling their products online through diffrent channels like Amazon, Flipkart etc. They have a sales data of year 2022 & they want us to analyse this data to understand their customers to grow more sales in 2023.
- Analysis-Of-IPL-Dataset: Building an dashboard to analyze the season wise stats for the Indian Premier League(IPL) data from 2008 to 2018.
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R Programming
- Analysis-Of-Palmer-Penguins-Dataset-Using-R: Explore the relationships between penguin species and their physical attributes using R Programming
- Analysis-Of-StarWars-Characters-Dataset-Using-R: This is an fun project created to practice my data analysis skills using R programming.
- Sentiment-analysis-with-R: In this Sentiment Analysis project, I have perform the binary classification(positive or negative) of words available in the Jane Austen’s books.
- Cyclistic-Bike-Share-Analysis-Using-R: In this project, I am working as a junior data analyst in the marketing analyst team at Cyclistic, a bike-share company in Chicago. I have created compelling data insights and professional data visualizations using R. From these insights, marketing team will design a new marketing strategy to convert casual riders into annual members.
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Python
- Analysis Of 911 Calls Data Using Python: Exploratory Data Analysis of the 911 calls dataset hosted on Kaggle. Demonstrates extraction of useful features from different variables.
- WebScraping YouTube Data For Exploratory Data Analysis: I have build an Python Project to Scrape YouTube data using YouTube Data API. Using YouTube API, I extracted the data and then load this data into a Python Pandas DataFrame and then analyze this data. Finally, I had build a simple visualization from this data using the Python Seaborn library.
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SQL
- Analysis-of-COVID19-Data-Using-SQL: The Covid-19 pandemic was a really serious outbreak that cost lives and affected the economy negatively. In this micro project, I have tried to analyse the COVID-19 data using SQL. The dataset used for this project have the recorded cases from 24th February 2020 to 30th April 2021.