An Analysis of Developer Communities in Python
An exploratory data analysis(EDA) and data visualization using Python on annual survey data collected by Stack Overflow from its globally dispersed developer community.
A passionate data explorer who enjoys the thrill of collecting, exploring, analyzing data, and unlocking insights to guide business strategies and decisions.
In addition to analyzing data, I specialize in crafting comprehensive project documentation that brings the data to life. RoopaGithub.
For me, there's nothing more fulfilling than diving deep into the data, unraveling its secrets and bringing forth the power of knowledge.SQL, Statistics, Python to R, Tableau, databases to spreadsheets are my tools of the trade.
An exploratory data analysis(EDA) and data visualization using Python on annual survey data collected by Stack Overflow from its globally dispersed developer community.
This project aims to analyze rider usage patterns, recommend marketing strategies to convert casual riders into annual members, and explore the role of digital platforms in this conversion process.
The project involves using web scraping techniques to extract data on all the courses offered at Harvard University and categorizing them based on their level of difficulty.
Purpose of this project is to uncover previously unseen sales insights and provide decision support to the sales team, while also automating the process to reduce manual data gathering time.
Don't have enough information on how to figure out which is site is fake, check out this dashboard. There are key features such as special characters in url, character set, server response, IP addresses to detect phishing websites.
Market growing demands and cut-throat competitions, U.S Superstore Giant wants to know what works best for them: which products, regions, categories and customer segments they should target or avoid.
For more queries, feedback and suggestions.