Proyecto que implementa una calculadora del modelo de valoración de activos financieros (CAPM) utilizando Python y Streamlit.

Showcase visualizations about common Japanese morphemes that appear in the news

This initiative seeks to extract and analyze fact-checking data from Politifact.com, providing valuable insights into political statements, rulings, and the evolving information landscape.

Analyse Layoff Dataset from Airtable

This projects helped in uncovering insights about the customer's behavior and these insights would assist in further analysis regarding customer satisfaction with the products and customer service to improve Danny’s business growth.

Explore Time Series functions and code snippets in this repository for efficient manipulation of time-based data. Gain insights and practical implementations of Time Series techniques to unlock the power of Time Series analysis.

Dune. Blockchain Data analysis and Visualization

I aquired a full scholarship from Google Launchpad. Advanced data wrangling skills to work with messy, complex real-world datasets. Highly customized visualizations using the Matplotlib Python library

Machine Learning Project

SheetBuddy is a Python library for performing exploratory data analysis (EDA) , Data sunmmary and generating comprehensive reports in Excel format.

Predicta: Simplify your workflow with our powerful data analysis and machine learning tool.

Explore and Analyze your YouTube watch history in a csv file including each video's metadata to discover usage patterns and interests.

This project focuses on analyzing a comprehensive dataset from a bike store, which includes information about customers, orders, products, stores, and staff. The analysis aims to uncover insights into customer behavior, sales performance, product trends, and staff efficiency.

Get your science on a leash!

This project utilized SQL to analyze a music store dataset, investigating customer behaviors, sales trends, and genre preferences. By querying and transforming data, valuable insights were derived to inform strategic business decisions, facilitated by techniques learned from Rishabh Mishra's YouTube channel.

This project analyzes U-Food's marketing data to generate insights for improved marketing activities. Using Python (Pandas, Seaborn, Matplotlib), we examine customer behavior, spending, and campaign responsiveness across demographics.

A virtual learning internship to you for the position of ‘Data Analyst’ at MerSKILL. Your knowledge and skills have demonstrated your potential and enthusiasm for starting your journey, and we are eager to welcome you at MerSKILL.

JWST research analysis with Python

Discover interesting insights and usage patterns about one's YouTube watch history data