I am a dedicated and results-driven Data Analyst and Scientist with a passion for leveraging quantitative analysis
to drive informed business decisions. My expertise lies in building automated, interactive reporting solutions and
employing advanced analytical techniques to extract actionable insights.
With a strong command of tools such as Tableau, SQL, Python, Machine learning and Big Data technologies (GCP, Azure)
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Portfolio
Sephora EDA
Exploratory Data Analysis (EDA): Explore product categories, regular and discount prices, brand popularity, the impact of different characteristics on price, and ingredient trends
Sentiment Analysis: Is the emotional tone of the review positive, negative, or neutral?
Recommender System: Analyzing the customer’s past purchase history and reviewsData Visualization: What are the most popular brands and products? What is the distribution of prices?
What does the cloud of the most frequently used words look like? Data source: Kaggle.com
![](images/sephora.png?raw=true)
SupplyChain Dashboard
Data Vizualization: Sales by Category, Sales by year, Profits by year,
Utilities Table,Cities by KPI
![](images/Semana%20de%20Datos%20Tribbo_%20Dashboard%20page%201.png?raw=true)
Marketing A/B Testing using Python
A/B testing helps marketers observe how one version of a piece of marketing content performs alongside another
![](images/What-is-AB-Testing.jpg?raw=true)
Other Projects