Hello, I am
Fernando
Welcome to my portfolio
Hi, I'm Fernando—a data enthusiast passionate about turning raw data into meaningful insights. With a background in computer science and strong skills in Python, SQL, Power BI, and Tableau, I specialize in data analysis, visualization, and problem-solving. Explore my projects, where I dive into real-world datasets, from tracking housing prices to detecting credit card fraud. My goal is to leverage data to drive informed decisions and create impactful solutions. Let's connect and explore the world of data together!
My
Skills
Python
SQL
Excel
Power BI
Tableau
Pandas
My
Projects
Airbnb Market Analysis
The Rent Price Tracker is a data-driven project designed to analyze and visualize rental prices across Vancouver, Burnaby, Surrey, and Richmond. Using web scraping, SQL, and Python (pandas), this tool collects real-time rental data from Rentals.ca, helping users understand market trends and compare prices for different bedroom types.
Café Sales Dashboard
In this project, I analyzed a dataset about sales at a café, focusing on various aspects of the business. The dataset included key information such as product sales, pricing, quantity sold, payment methods (credit or cash), dining preferences (dine-in or takeout), and sale dates. The goal was to clean the data, identify trends, and create insightful visualizations to help the café understand customer preferences and sales patterns.
Secure Transaction Analysis
The Fraud Detection Dashboard is a data-driven web application that analyzes credit card transactions to identify fraudulent activities. Using SQL, Python, and interactive visualizations, the site provides insights into transaction patterns, fraud trends, and customer behavior.
About
Me
I’m a data enthusiast with a background in computer science, passionate about uncovering insights through data analysis. I enjoy working with Python, SQL, Power BI, and Tableau to make sense of complex datasets. I recently graduated from Langara College and am currently focused on building projects that showcase my analytical skills, including tracking housing prices and detecting credit card fraud. My goal is to become a data analyst, leveraging my technical skills to drive meaningful decisions. When I’m not working with data, I enjoy weightlifting, learning new technologies, and exploring different accents. Feel free to connect with me!