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Tanner Gilbreath

@tannergilbreath

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Senior Data Scientist specializing in AI and predictive modeling.

United States

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What I'm looking for

I am seeking a role that allows me to leverage my data science expertise to create impactful AI solutions while fostering a collaborative and innovative work environment.

As a Senior Data Scientist, I have a rich background in transforming complex data into actionable insights. My journey began with predictive modeling in finance, evolved into e-commerce with recommendation systems, and now encompasses cutting-edge applications of generative AI and computer vision in healthcare. I pride myself on crafting compelling narratives from data that empower clients to drive their businesses forward.

Throughout my career, I have successfully developed predictive models that enhance market forecasting accuracy and optimize client portfolios. My expertise in technologies such as Python, XGBoost, and Apache Spark has enabled me to create real-time analytics systems and risk assessment models that deliver tangible benefits. I am passionate about leveraging AI and machine learning to create solutions that not only meet technological needs but also align with human and regulatory requirements.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist – ML Engineer

Current

Morningstar

Jul 2021 - Present (3 years 11 months)

Created predictive models for asset price forecasting using XGBoost and ARIMA, enhancing forecast predictions by 25%. Developed portfolio optimization models in Python, Scikit-learn, and Pandas, assisting clients in designing balanced portfolios.

Python XGBoost Apache Spark scikit learn Pandas Google BigQuery Apache Kafka Databricks

Senior Data Scientist

Overstock

Mar 2019 - Jun 2021 (2 years 3 months)

Implemented a personalized product recommendation system using collaborative filtering, matrix factorization, and content-based filtering algorithms, increasing conversion rates by 15%. Segmented customers using k-means clustering and hierarchical clustering to explore purchasing behavior.

Python Apache Spark AWS S3 Google Cloud Platform Convolutional Neural Networks

Data Scientist

HealthNet

Apr 2017 - Feb 2019 (1 year 10 months)

Created and implemented predictive models to forecast insurance claim approvals, detect fraud, and improve risk assessment. Leveraged AWS cloud services and Google Cloud Platform to store, process, and analyze healthcare and insurance data at scale.

Python SQL XGBoost AWS Google Cloud Platform Apache Kafka Apache Spark AWS S3

Data Engineer

Allstate

Sep 2015 - Mar 2017 (1 year 6 months)

Developed ETL pipelines to connect data from internal insurance systems, external third-party vendors, and customer interactions, increasing data accuracy by 30%. Designed and optimized relational databases such as MySQL and PostgreSQL for high-performance data storage.

ETL MySQL PostgreSQL AWS S3 Apache Kafka Amazon Redshift Google BigQuery Hadoop Apache Spark Apache Flink

Education

Degrees, certifications, and relevant coursework

University of Texas at Austin

Bachelor of Science, Data Science

Studied the fundamentals of data science, including statistical analysis, machine learning, and data visualization. Gained proficiency in data manipulation and modeling techniques.