Kelly Boyle is an accomplished Data Scientist with 8 years of experience specializing in machine learning, predictive analytics, and big data technologies. She has a proven track record of developing and deploying data-driven solutions that drive business growth and operational efficiency across various industries, including tech and e-commerce. Kelly is passionate about translating complex datasets into actionable insights and is adept at utilizing Python, R, SQL, and cloud platforms like AWS and Azure. She thrives in collaborative environments and is committed to continuous learning and innovation in the field of data science.
Kelly Boyle's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Spearheaded the development of a novel recommendation engine that increased user engagement by 30% and sales conversion by 15% for a major e-commerce platform, receiving an internal innovation award.
Co-authored and published a research paper on 'Advancements in Natural Language Processing for Sentiment Analysis' in the Journal of Data Science and Analytics, contributing to the academic understanding of the field.
Re-engineered and optimized a customer churn prediction model, improving its accuracy by 22% and enabling proactive retention strategies that saved the company an estimated $2M annually.
Selected as a speaker at DataCon Global 2023, presenting on 'Ethical AI: Building Fair and Transparent Machine Learning Models' to an audience of industry professionals and researchers.
University of Illinois at Urbana-Champaign
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Basis Technologies offers a comprehensive SaaS platform for media automation and programmatic advertising. Their technology, Basis, helps marketing teams streamline operations, unify digital media planning and buying, and improve campaign performance across all channels. It provides tools for planning, activation, reporting, and financial reconciliation, aiming to make digital advertising more efficient and effective for agencies and brands.
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