Travis Browning

Buffalo, NY 14217

(716) 489-5991 github.com/tsbrowning

travisbrowningNLP@gmail.com linkedin.com/in/travis-browning

Summary

Results-driven data professional with expertise in data science, analysis, and engineering using cutting-edge technologies. Highly skilled in evaluating, analyzing, and iteratively improving data and language models. Strong technical background encompassing project leadership and software development. Exceptional communicator with proven success in guiding technical teams to deliver impactful, scalable solutions.

Skills

  • Data science, natural language processing (NLP), statistical analysis, machine learning, software engineering, business intelligence (BI), International Phonetic Alphabet, distributional semantics

  • Python, R, SQL, Looker, Tableau, Google Cloud, AWS, Azure, Excel, PowerBI

  • PyTorch, TensorFlow, sklearn, sPacy, NLTK, NumPy, Pandas, Plotly, Keras, AzureSDK

  • Requirements analysis, active listening, critical thinking, storytelling, business acumen, team leadership

Experience

JUN 2022- Present

International Business Machines (IBM), Buffalo, New York - Business Transformation Consultant (Data Analysis)

  • Technical lead supporting cross-functional teams in understanding and interpreting data trends. Deliver novel software solutions for call center and healthcare clients.

  • Research, development, evaluation, and optimization of original text processing logistic regression pipeline for a call center client. Engineered data solutions saving over 900 monthly work hours.

  • Development and evaluation of original fraud detection pipelines, identifying inconsistencies and opportunities to correct billing for millions of dollars in insurance claims.

  • Creation and maintenance of Time Series reporting dashboards featuring original visuals identifying efficiencies, trends and opportunities.

  • Internal project based operational and financial reporting.

  • Mentoring and training junior developers, championing a data-driven culture.

  • Subject matter expert in NLP, data analysis, and big data.

NOV 2021

Research Group in Computational Linguistics, Wolverhampton, UK - Researcher

  • Completed original capstone master’s thesis project exploring the intersection between NLP and computer vision.

  • Engineered and evaluated machine translation pipelines to generate domain-specific original image captions.

  • Extracted, transformed, loaded and analyzed original data.

  • Developed and evaluated transformer-based solutions and compared results to industry benchmarks.

APR 2019 - DEC 2019

BlueAlly Services, Buffalo, New York - Support Analyst III

  • Contracted to oversee a software and application support project for a financial client.

  • Extracted and analyzed incident and KPI data per business analysis goals.

  • Identified the impact of trending issues on service desk performance, resulting in significant engineer time saved across the project.

  • Presenting original analysis summaries to key stakeholders.

DEC 2017 - MAR 2019

IBM, Buffalo, New York - Application Support Analyst

  • Software and application support for a leading managed care organization.

  • Performed root cause analysis to debug system and software issues in a high-volume technical call center.

  • Assisted in training and educating new team members and producing internal documentation.

Certifications, Training, and Memberships

  • DataBricks: Large Language Models Application through Production, IBM: HIPAA Overview, Azure: Designing and Implementing a Data Science Solution (in progress)

  • Member of the Association for Computational Linguistics.

Education

University of Wolverhampton, Wolverhampton, UK - Master of Arts

Computational Linguistics, with merit (summa cum laude)

  • Computational modeling and analysis of natural language.

  • Relevant coursework: machine translation; machine learning; Python; R; computer vision; corpus linguistics; computational research methods.

State University of New York at Buffalo, Buffalo, New York - Bachelor of Arts

Applied Linguistics

  • Scientific study of language.

  • Relevant coursework: syntax; semantics; phonetics; phonology; sociolinguistics.