NAVIGATING NUMBERS - Apply your data analytics & visualization skills to advise a social media client on their content creation strategy as a Data Analyst at Accenture

final project of mathematical software 2 course at SBU

According to the CDC, heart disease is one of the leading causes of death for people of most races in the US. Our ML project leads to a better understanding of how we can predict heart disease.

This is Accenture Data Analytics virtual experience project with Forage. The goal was to help a company named "Social Buzz" leverage the use of their massive amount of data. Social Buzz has reached huge scale in recent years to become recognized as a global unicorn company.

This repository showcases my project completed during the Accenture North America Data Analytics and Visualization Virtual Internship. This project offered an immersive experience into the exciting world of data analytics and visualization with Accenture

Accenture empowers you to be your best—personally and professionally. Every day around the world, we work with exceptional people, the latest and greatest tech and leading companies across industries. Deep dive into the evolving world of data from an analytics and visualization perspective.

This repository contains four different hypothesis testing projects, analyzing real-world data to validate assumptions and drive data-driven decisions. Each project applies statistical tests (e.g., t-tests, chi-square, ANOVA) to uncover insights and support business strategies. Built with Python, Pandas, SciPy, and Statsmodels. 🚀

The company hired you because they want to know what would be the 5 properties they should invest in and why, and which 5 you would not recommend investing in at all.

January 2024 - March 2024

Final project for the course "Data Mining: Foundations" (Università di Pisa, LM Data Science and Business Informatics)

Accenture Data Analytics & Visualization Internship Topics

News popularity prediction dataset analysis and modeling

Data preparation: data understanding, heatmaps, data cleaning, dimensionality reduction

In this project conducted in RStudio using the R programming language, we delved into Spotify data to unravel patterns and insights contributing to music's popularity. Employing statistical techniques and leveraging the power of ggplot2 for visualizations, our analysis aimed to provide a comprehensive understanding of what drives music preferences.

Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture

Repository for EDA projects

Data science Methodology

EDA of Sephora sales data along with customer reviews using SQL and Excel as well as creating a Power point presentation for visuals, insights and recommendations

Анализ вакансий с сайта Headhunter

some training, learning and TD/TP ressources