subash-ramasamy Goto Github PK
Name: Subash Ramasamy
Type: User
Company: Accenture
Bio: Data Analysis | Project Management Officer @Accenture Skills: Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, Tableau
Location: Coimbatore
Name: Subash Ramasamy
Type: User
Company: Accenture
Bio: Data Analysis | Project Management Officer @Accenture Skills: Python, SQL, Pandas, NumPy, Matplotlib, Seaborn, Tableau
Location: Coimbatore
This dataset explores customer characteristics for AeroFit treadmill products. Made a descriptive analytics of customer profiles using tables and charts. Two-way contingency tables unveil conditional and marginal probabilities, offering valuable insights for informed business decisions.
This repository is dedicated to a comprehensive SQL analysis focused on extracting meaningful market insights. The dataset, encompassing details on customers, transactions, products, and markets, provides a solid foundation for an in-depth exploration.
Explore retail prowess in Brazil through an in-depth analysis of 100,000 orders spanning 2016 to 2018. This dataset provides a comprehensive overview, allowing a nuanced understanding of company's operations and its impact on the Brazilian retail landscape.
In the FP20 Analytics Challenge, the dataset provided is North America retail sales. In which I have explored delivery times across product categories, analyzed durations for customer segments, identified the top 5 products with varied delivery speeds, pinpointed the salesperson with the lowest return rate, and investigated ship mode correlations.
Netflix's content strategy with this dataset encompassing over 10,000 movies and TV shows. Delve into cast details, directors, ratings, release years, and more. Leverage data-driven recommendations to guide content production decisions and business expansion strategies globally, fostering growth in diverse markets."
Conducted comprehensive data analysis on walmart data, including structure examination, null value detection, and outlier identification in the dataset. Explored and compared average spending patterns among 50 million female and male customers, to derive confidence intervals and provide actionable insights for Walmart's strategic decisions.
Assisting Yulu, India's micro-mobility provider, in understanding factors influencing shared electric cycle demand. Employing statistical tests and analysis on a dataset to identify significant predictors and gauge their impact on cycle demand.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.