dotnet samples

Customer Insights

Tableau Visualizations

This repository contains all the Data Analysis I have done so far.

insights sobre a situação da covid19 no Brasil

Python-Based Data Analysis and Visualization for Startups, Sports and More.

Uses machine learning to analyze e-commerce data, uncover insights, and offer actionable suggestions

Projeto de insights imobiliários, usando um conjunto de dados do Airbnb, em Nova York, para ajudar o investidor James Bauer a avaliar o comportamento dos preços dos imóveis disponíveis na cidade.

This Repo contains my case study of BellaBeats, a fitness smart wearables maker for women

A case study is based on a computer hardware company, which is facing challenges in dynamically changing market. The sales director decides to invest in data analysis project, and he would like to build a power BI dashboard that can give him/her a real time sales insights.

A project using SQL that centers around implementing the RFM analysis model to extract valuable insights from a sales dataset.

A Fitness Company wants to know the customer behavior towards the threadmill and want recommendations to increase its profits.

Recall the journey, not the destination

Project to analyze economic indicators of the city of Boston-USA in the period 2013-2019.

Telangana is one of India’s leading states and has published its tourism data under its open data policy. This is a presentation of analysis done to provide insights for tourism growth in the data, finding patterns and providing recommendations to the government for increased growth rate.

I have used Melbourne Housing Dataset and build a Dashboard on that data using Excel.

This Power BI project aims to analyze a comprehensive call center dataset with features including Call ID, Agent, Date, Time, Topic, Answered (Y/N), Resolved, Speed of Answer (seconds), Avg Talk Duration, and Satisfaction Rating. The goal is to gain valuable insights into call center performance, customer satisfaction, and emerging trends.

View dashboards and reports for financial data including quotes (equities, cryptocurrency, etc) and US public company information using Steampipe.

This notebook analyzes Nobel Prize data from 1901 to 2016, exploring factors such as gender, nationality, age, and repeat laureates. It examines trends and patterns, revealing insights about the Nobel Prize's evolution over time, including the dominance of the United States and the representation of women in different prize categories.

Forage PWC Power BI Job Simulation