About me
I am a Senior Data analyst and statistics enthusiast interested in Machine Learning, Time Series Forecasting, Mixed-Effects Inferential Analysis, and Sports Analytics.
I have leveraged financial and statistical modeling to obtain business insights to provide value to my organizations during my career. I enjoy applying statistical and machine learning methods to sports analytics, particularly NFL analytics. Other research interests include sustainability, economics, and finance.
Contact: adrian@adriancadena.com
Interests
- Sports Analytics
- Machine Learning
- Statistical Analysis
- Deep Learning
Education
M.S., Business Analytics - Data Science Track, 2020
The University of Texas at Dallas
B.B.A., Double major in Finance and Economics, 2015
The University of Texas Rio Grande Valley
Skills
R
Python
SQL
Machine Learning
Data Analytics
Statistics
Git
Alteryx
Dataiku
Oracle
MS Azure
Oracle
Professional Experience
Data Analyst Advisor
FedEx
Achievements:
- Joined a collaborative effort to develop a data strategy and architecture with governance and scalability as priority
- Played critical role in the development of an Azure data-lake which currently facilitates the financial close process
- Followed DevOps practices to move transport data from Oracle IAAS into a Databrick Azure environment
- Interfaced AWS S3 with RPA technology to replace NAS drives
Sr. Data Analyst
FedEx
Achievements:
- Leveraged RPA technology to automate tasks obtaining, processing, and pushing data to relational database tables
- Programed ETL pipelines to feed data to dashboards in production supporting financial analysts and stakeholders
- Developed web applications using HTML, CSS, JavaScript, and Python back end to support contract reporting
Advanced Intern – Data Analysis
FedEx
Achievements:
- Increased guess lead’s productivity by building pipelines to automate data processing and dashboard generation
- Implemented and managed a Tableau Server used by multiple teams for data storage, EDA, and monthly reporting
- Boosted query speed by 20% and productivity of a finance team by applying SQL tuning techniques
Finance Intern – Data Analysis
FedEx
Achievements:
- Presented recommendations to increase the expense-to-return ratio growth after analyzing $30 million in awards and programming statistical models to evaluate the FedEx Technology Incentive Program’s effects on revenue.
Projects
Completion Percentage Over Expectation (CPOE) - NFL
Stochastic Gradient Boosting to predict pass outcomes and find completion probability. NFL Analytics.
Featured Publications
Which defensive line position is the most valuable?
How do we define talent in the defensive line? Which position in the defensive line is the most is the most valuable? We aim to answer these questions in this analysis. This project was our submission to the Sports Info Solutions Analytics Challenge 2020.
Recent Publications
Which defensive line position is the most valuable?
