Amber Alston
Denver, Colorado,United States
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Amber Alston is a results-oriented Senior Data Scientist with 8 years of experience in leveraging machine learning, statistical modeling, and data visualization to drive business growth and product innovation. She possesses a strong background in Python, R, SQL, and cloud platforms like AWS and Azure. Amber is passionate about transforming complex datasets into actionable insights and has a proven track record of developing and deploying predictive models that solve real-world problems. She is a collaborative team player, an advocate for data-driven decision-making, and dedicated to continuous learning in the ever-evolving field of data science. Amber thrives in dynamic environments where she can contribute to impactful projects and mentor junior data scientists.
Professional Summary
Amber Alston's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Lead Developer of AI-Powered Recommendation Engine
Spearheaded the design and implementation of a new recommendation engine, utilizing collaborative filtering and deep learning techniques, which resulted in a 25% increase in user engagement and a 15% uplift in cross-sell revenue for a major e-commerce platform.
Published Research on Ethical AI
Co-authored and published a paper on 'Bias Detection and Mitigation Strategies in Machine Learning Models' in a leading AI journal, contributing to the discourse on responsible AI development. Presented findings at the International Conference on AI Ethics.
DataFest Hackathon Winner 2021
Led a team to victory in the 2021 National DataFest Hackathon by developing an innovative predictive model for urban traffic flow optimization, praised for its accuracy and practical application.
Mentor of the Year Award 2022
Recognized for exceptional mentorship and guidance provided to junior data scientists and analysts within her organization, fostering a culture of learning and professional development.
Educational Background
Executive Product Leadership Program
CPO Accelerator - Year 2022
Executive Women in Leadership Certificate
Cornell University - Year 2021
Master of Science, Modeling and Simulation [Human Systems Engineering] (College of Engineering & Computer Science)
University of Central Florida
Master of Arts, Communication (College of Arts & Sciences)
University of Central Florida
Bachelor of Science, Psychology, Minor in Communication (College of Arts & Sciences)
University of Central Florida
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Company Overview
ReplicatedReplicated is a platform that enables software vendors to easily deploy and manage their applications in diverse customer environments, including on-premise, private clouds, and air-gapped systems. They provide tools for packaging, distributing, licensing, and updating third-party software, simplifying the operational complexities for SaaS companies looking to serve enterprise customers with specific infrastructure requirements.
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