The analysis of key metrics for improvement has always been a fascination of mine. This paired with my love of storytelling has allowed me to seamlessly transition into using data science methodologies to tell an impactful story.
Alexia Garces
Data Scientist

Alexia Garces
Data Scientist
Available Work Locations: Remote • San Antonio, TX
Core Technologies: Python, MySQL, Spark, Tableau, Pandas, NumPy, Matplotlib, Seaborn, SciKitLearn, Anaconda, Jupyter Notebooks, Git/GitHub
Core Competencies: Data Storytelling, Applied Statistics, Machine Learning, Natural Language Processing, Classification, Regression, Clustering, Time Series Analysis, Anomaly Detection
Hire Me Because
My Capstone Project: Is America’s Glass Half-Empty? Discovering drivers of America’s prospective thinking.
Acquiring survey data from the Pew Research- American Trends Panel, our team explored the drivers of pessimism in American Prospective Attitudes. Understanding what most likely drives pessimistic thinking about the future will help business leaders clarify strategies for moving forward and guide expectations of future success in the customers they serve, products offered, investments made, in Marketing and Sales, and throughout their business organization. By creating a Random Forest model, we found top drivers of prospective pessimistic thinking include concerns about the future of the US economy, quality of life for families and children, and public education. We recommend that business leaders acknowledge these concerns, and create and/or affirm policies and practices that support stability, security and educational growth.
“With technology, I am most passionate about exploring and visualizing data to gain actionable insights that craft a powerful story.“