About Me

I help businesses turn messy data into clear, actionable stories — building data pipelines, models, and dashboards that make decision-making faster and smarter. This website includes my professional experience and some of my recent work!

Contact Details

Bryant Leal
Houston, TX USA
(713) 228-7325
Bryantleal@utexas.edu

Download Resume
Authorized to work in the US without restrictions

Education

McCombs School of Business

Master of Science in Business Analytics • Spring 2021

Coursework Included: Advanced Data Analytics in Marketing, Stochastic Control & Optimization, Learning Structures/Times Series, Pricing & Revenue Management, Data Analytics Programming, Predictive Modeling, Advanced Predictive Modeling, Data Management (SQL, Spark, MapReduce), Advanced Corporate Finance

McCombs School of Business

Bacholor in Business Administration• Spring 2020

Major: Finance, Quantitative Finance track
Overall GPA: 3.81
Major GPA: 3.78

Work

Acrisure Innovation

Analytics Engineer • June 2024 - Present

  • Business & Technical Acumen: Leverage business insight and technical expertise in dbt to build scalable data models that power high-impact Tableau dashboards and enable data-driven decision-making.
  • Architected Data Solutions: Acted as the data architect for an organization-wide initiative, designing end-to-end data models and pipelines that deliver consistent, accessible views of key organizational KPIs

Acrisure Innovation

Data Analyst • Jan 2022 - June 2024

  • Data Visualization & Decision Support: Designed and deployed Tableau dashboards across Marketing, Analytics, and Strategy teams, enabling real-time visibility into KPIs and supporting data-driven decision-making.
  • Algorithm Development & Product Intelligence: Built a Python-based matching algorithm to assess and compare product performance, driving more accurate evaluations and supporting product optimization efforts.

Dell Technologies

Analytics Consultant, Business Intelligence Capstone • Jan 2021 - May 2021

  • Data Analytics & Insight Generation: Conducted in-depth analysis of Dell computer warranty data using Python to uncover renewal and failure patterns, enabling more informed decision-making for warranty-related strategies.
  • Advanced Modeling & Predictive Analytics: Developed and implemented Random Forest, XGBoost, and CatBoost classification models to predict warranty outcomes which assisted in identifying customer retention strategies.

USAA

Financial Analyst Intern • May 2019 - July 2019

  • Audit Process Optimization & Controls Analysis: Developed a cross-functional analysis to identify similarities in audit controls across accounting teams; leveraged Excel PivotTables to visualize key patterns and discrepancies, enhancing transparency and standardization efforts.

Get In Touch.

If you wish to contact me, my information is found below:

Bryant Leal
Houston, TX USA
(713) 228-7325
Bryantleal@utexas.edu