After moving toward a data-intensive career path, I completed a Vanderbilt University Data Analytics certification program that helped strengthen my skills in SQL, Python, Tableau, and Power BI. Today, I work at the intersection of finance, data, and technology, helping private equity-backed companies transform their finance functions through modern analytics solutions. My work includes building Microsoft Fabric data warehouses, developing scalable pipelines and semantic models, and creating reporting solutions that turn complex financial and operational data into actionable insights. I am also an AWS Certified Cloud Practitioner and enjoy continually expanding my knowledge of cloud technologies, data architecture, automation, and AI. Outside of my professional work, I have tutored students in data analytics and have made the content available through my YouTube channel, Data Science Building Blocks. As technology continues to reshape the finance function, I am particularly interested in AI enablement and the intersection of modern cloud data platforms, analytics, and financial decision-making.
I welcome work that requires a high-degree of financial acumen and an understanding of relational databases. While I enjoy analyzing financial statements, I am more interested in the data behind the cumulative numbers. I am currently leading my team through a server migration and making a push toward predictive analytics reporting.
Data Analytics Certification
Data Analytics is at the forefront of the tech-finance world, and this Vanderbilt University program has provided me with the specialized skills that I need in order to perform in a data-driven space.
B.S. in Finance; Minor in Statistics
The Smeal College of Business provided an excellent stepping ground for me to learn about facing people and systems challenges in the finance industry.
Project 1: Databases
Using SQL, derived a list of retiring employees and their titles, and then identified the particular employees eligible to participate in a mentorship program
View On GitHubProject 2: Python
Using Python in Jupyter Notebook, completed an analysis on school districts in order to help uphold state-testing standards and fair school funding
View On GitHubProject 3: R
Used car data to perfrom linear regression, summary statistics, and a t-test in R
View On GitHubProject 4: Machine Learning
Given a provided cryptocurrency dataset, used different machine learning techniques to cluster crypto components and uncover patterns
View On GitHubProject 5: JavaScript
Uncovered differences in earthquake magnitudes by plotting earthquake data with Mapbox and Leaflet
View On GitHub