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!
Bryant Leal
Houston, TX USA
(713) 228-7325
Bryantleal@utexas.edu
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Authorized to work in the US without restrictions
Master of Science in Business Analytics • Spring 2021
Current GPA: 3.55
Current coursework: Advanced Data Analytics in Marketing, Stochastic Control & Optimization, Learning Structures/Times Series, Pricing & Revenue Management
Past coursework: Data Analytics Programming, Predictive Modeling, Advanced Predictive Modeling, Data Management (SQL, Spark, MapReduce), Advanced Corporate Finance
Bacholor in Business Administration• Spring 2020
Major: Finance, Quantitative Finance track
Overall GPA: 3.81
Major GPA: 3.78
Analytics Engineer • May 2024 - Present
Financial Analyst Intern • May 2019 - July 2019
During my time at USAA, I worked under the External Reporting team where I handled various tasks that provided me with exposure to the external reporting process such as auditing financial statements. I also provided analytics work to the team by analyzing control processes across the five reporting teams and presented any interesting insights such as overlaps or opportunities for increased consistency. While I had minimal time to find anything of use for the team, I produced a method for analyzing these controls in a way that is useful and interpretable.
The analysis explored whether the similarity score of a "retold" or "imagined" story would have predictive properties with its corresponding recalled story. We also explored whether it is possible to predict if a story is imagined or recalled.
The capstone course gives MSBA students an opportunity to conduct an industry sponsored analytics project. Along with three peers, we are working with Dell point-of-contacts as well as Dell research consultants to answer questions regarding Dell's pricing strategy.
A repo for code used for completing project 2 in Text Analysis where we were to analyze user sentiment on beer reviews from Beer Advocate's top 250 beers 🍺. Specifically, we needed to collect around 25 reviews for each beer in the top 250. This means we had over 6,250 rows of unstructured data in total!
If you wish to contact me, my information is found below:
Bryant Leal
Houston, TX USA
(713) 228-7325
Bryantleal@utexas.edu
Authorized to work in the US without restrictions