Every great story starts with a clean slate. In data analysis, that means removing errors, filling gaps, and ensuring your data is accurate and reliable. I specialize in cleaning and organizing raw data to transforming chaos into clarity.
VERONICA HERNANDEZ
A DATA ANALYSIS PORTFOLIO
clean, analyze, visualize
All data tells a story
From cleaning to analyzing its core and visualizing its narrative,
data tells a story that empowers decision-making and sparks action.
Clean.
Analyze.
Once the data is clean, the story begins to take shape. Through analysis, I uncover patterns, trends, and relationships hidden within the numbers. Whether it’s querying a database or performing time-series forecasting, I turn raw data into drive meaningful actions.
Projects
Superstore Time-Series Analysis
Project includes trend analysis, forecasting, and trendline visualization, identification of high and low sales values using conditional formatting, implementation of EMA and an interactive dashboard allowing users adjust EMA in real-time.
Student Health and Attendance EDA
Exploratory data analysis on relationships between student health metrics—such as stress levels, sleep hours, and mood—and attendance behaviors using Python.
Analyzing the World’s Largest Companies
Analysis of revenue, profit, and profit margins to identify industry and regional trends among the 50 largest companies using Python, SQL and Tableau.
Dealership KPI Analysis
An end-to-end solution using a car dealership dataset. Includes ERD design, data cleaning, ETL, database creation, additional functionality with stored procedures and triggers, and a Tableau dashboard that highlight trends and key metrics.
New York Housing Data: Cleaning and Preparation
A data cleaning project using Excel and SQL, focusing on improving the accuracy and usability of raw data by identifying and resolving inconsistencies, removing duplicates, standardizing, formatting and fixing errors.
Skills
About me
Hi, I’m Veronica—an aspiring data analyst, and this is my journey into the world of data. I enjoy working with data and turning messy information into meaningful insights. With experience in managing and organizing data, I’m now focusing on data analysis to help businesses make smarter decisions.
My projects are grounded in real-world applications aimed at solving complex problems. I love uncovering stories hidden in data and transforming them into clear, actionable insights.
When I’m not working with data, you’ll find me outdoors. I enjoy hiking—I’ve trekked the Rocky Mountains, the Canadian Rockies, Alaska, Mount Rainier, and Acadia National Park. I also love kayaking, whitewater rafting, and bouldering. Fitness is important to me, so I stay active with things like jumping rope and walking—great for clearing the mind! And when I want to have some fun, I’m all about dancing, especially Lindy Hop! Oh, and I’ve even been skydiving.
Thanks for stopping by!