Benito Wuver - Data Analyst Portfolio
Welcome to my data analytics portfolio! I am proficient in advanced analytics, adept at driving data-driven decision-making. Skilled in various data analysis techniques and tools, consistently delivering actionable recommendations to optimize business processes and enhance performance. Committed to ongoing learning and staying abreast of the latest trends in data analytics for organizational success.
Projects
1. Customer Product EDA with POWER BI
- Tools & Technologies: Power BI (DAX, Data Modelling, Power Query and Data Visualisation), Jira and Confluence.
- Project Description: Exploratory Data Analysis (EDA) for Customer Product dataset encompasses sales and customer metrics, including revenue by customer class, lead source contributions, and regional performance, with key indicators like conversion rates and year-over-year growth. It supports data modeling, visualization, and dashboard creation to provide actionable insights for strategic decision-making and performance optimization.
- GitHub Link: Customer Product EDA with POWER BI
2. Healthcare EDA with Python
- Tools & Technologies: Python(Pandas, Matplotlib, and Seaborn) and Excel.
- Project Description: Exploratory Data Analysis (EDA) for healthcare datasets in Python involves using libraries like Pandas, Matplotlib, and Seaborn to analyze and visualize data, uncovering patterns, trends, and insights related to patient demographics, diagnoses, treatments, and outcomes.
- GitHub Link: Healthcare EDA with Python
- Kaggle Link: Healthcare EDA with Python
3. London Housing Insights with Tableau
- Tools & Technologies: Excel and Tableau
- Project Description: London Housing Insights with Tableau is a data visualization project that analyzes the London housing market using interactive dashboards to uncover trends like price fluctuations, affordability, and regional disparities. Insights are derived by exploring visualizations such as heatmaps, trend lines, and geospatial maps to identify patterns and answer key questions about property prices and market dynamics.
- Tableau Link: London Housing Insights with Tableau
4. Customer Shopping Trends with R
- Tools & Technologies: R, Excel and R Studio
- Project Description: In this project, I analyzed customer shopping data to uncover trends in purchasing behavior. The analysis included segmenting customers based on their shopping patterns and identifying the most popular products.
- GitHub Link: Customer Shopping Trends
- Kaggle Link: Customer Shopping Trends
5. Employee Data Simulation - IT Industry with R
- Tools & Technologies: R, Excel and R Studio
- Project Description: This project involved simulating a dataset for employees in the IT industry. I performed analysis on various factors such as attrition, salary distribution, and department demographics to gain insights into workforce management.
- GitHub Link: Employee Data Simulation - IT Industry
- Kaggle Link: Employee Data Simulation - IT Industry
6. Population and Demography with R
- Tools & Technologies: R, Excel and R Studio
- Project Description: This project focuses on analyzing population data to understand demographic changes over time. The analysis includes visualizations of population growth, age distribution, and predictions using machine learning models.
- GitHub Link: Population and Demography
- Kaggle Link: Population and Demography
7. Financial Analytics with R
- Tools & Technologies: R, Excel and R Studio
- Project Description: In this project, I conducted a comprehensive financial analysis including revenue trends, expense analysis, and profitability metrics. The project also involved forecasting future financial performance based on historical data.
- GitHub Link: Financial Analytics
- Kaggle Link: Financial Analytics
Tools & Technologies
- Python
- SQL
- R Programming
- Excel
- Tableau
- Power BI
- R Studio
- BigQuery
- Snowflake
- Google Data Studio