Danielle Horwath
London, England,United Kingdom
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Danielle Horwath is an accomplished data science leader with over a decade of experience in leveraging advanced analytics, machine learning, and artificial intelligence to drive business growth and product innovation. She is passionate about building high-performing teams and translating complex data insights into actionable strategies. Danielle has a proven track record in developing scalable data solutions across various industries, including tech, finance, and e-commerce. She is a strong advocate for ethical AI and data-driven decision-making, frequently sharing her insights through industry talks and mentorship.
Professional Summary
Danielle Horwath's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Innovator of the Year Award 2022
Recognized for pioneering a novel machine learning algorithm that improved predictive accuracy by 25% for customer churn.
Lead Architect for 'InsightPlatform'
Successfully led the design and implementation of a company-wide data analytics platform, empowering over 500 users with self-service BI capabilities.
Keynote Speaker at Data Insights Conference 2023
Delivered a keynote on 'The Future of Generative AI in Business Intelligence', highlighting emerging trends and practical applications.
Published in 'Journal of Applied Data Science'
Co-authored a research paper titled 'Scalable Anomaly Detection in High-Dimensional Time Series Data'.
Educational Background
Masters, Business Administration
Loyola University Maryland - Year 2009
B. S, Business Management
University of Phoenix - Year 2000
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Company Overview
Effective PeopleEffective People is a global SAP Gold Partner specializing in SAP SuccessFactors. They provide consulting, implementation, and support services to help organizations optimize their HR processes, improve HR service delivery, and enhance employee experiences through technology. They focus on delivering human-centric HR transformations.
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