Adrian Cadena-Medina

Adrian Cadena-Medina

Senior Data Analyst

FedEx Services

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.cadena@utdallas.edu

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

Recent Professional Experience

 
 
 
 
 

Sr. Data analyst

FedEx

May 2020 – Present Tennessee

Responsibilities:

  • Developing and testing bots to automate business processes anticipated to increase productivity and reduce costs
  • Utilizing Feed Forward and LSTM Neural Network algorithms to forecast accounts while supporting the company’s Strategic Outlook for the next three fiscal years. Insight was obtained and presented to a leadership team
  • Improved forecasting accuracy for multiple accounts by 8% compared to the previous methodology
 
 
 
 
 

Advanced Intern – Data Analysis

FedEx

Jan 2020 – May 2020 Tennessee

Achievements:

  • Built data pipelines to automate processing and analysis utilizing various tools, which lead to time savings of 5 hours per month for the analyst leading our forecasting efforts
  • Implemented, managed, and coordinated a Tableau Server with 28 members to be utilized by multiple teams within a Finance division
 
 
 
 
 

Finance Intern – Data Analysis

FedEx

Jun 2019 – Aug 2019 Tennessee

Achievements:

  • Programmed statistical models to evaluate the effects of the FedEx Technology Incentive Program (FTIP) on revenue growth by analyzing over $30 million in cash awards

Projects

Completion Percentage Over Expectation (CPOE) - NFL

Stochastic Gradient Boosting to predict pass outcomes and find completion probability. NFL Analytics.

Contact