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Reuben Reuben

@reubenreuben

Data scientist and researcher at Tech Analytics Solutions, where I improved time-series model prediction accuracy by 22%.

United States

Message

At Tech Analytics Solutions, I led research and implementation of machine learning pipelines that improved prediction accuracy by 22% across multivariate time-series datasets. I also designed and executed A/B experiments that drove a 15% increase in user retention.

At DataSphere Institute, I analyzed unstructured data and developed predictive classification models and NLP pipelines for sentiment analysis, reducing manual processing time by 40%. On a remote research project, I built and deployed a customer churn model that achieved an AUC-ROC of 0.91.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Science Researcher

Current

Tech Analytics Solutions

Jan 2023 - Present (3 years 10 months)

Led research and implementation of advanced machine learning pipelines, improving model prediction accuracy by 22% across multi-variate time-series datasets. Designed and executed large-scale A/B experiments and hypothesis testing frameworks for product optimization, driving a 15% increase in user retention.

Machine Learning Deep Learning Time series Forecasting A B Testing Statistical Analysis Python GCP AWS Research Data Pipelines

Data Scientist & Research Analyst

DataSphere Institute

Jun 2020 - Dec 2022 (2 years 6 months)

Processed and analyzed large unstructured datasets (10M+ records) using Python and PySpark to identify key market trends and consumer behaviors. Developed predictive classification models and NLP pipelines for sentiment analysis, reducing manual data processing time by 40%.