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Head of Machine Learning | Ph.D. in Artificial Intelligence
Machine Learning executive with a passion for building and leading cross-functional teams, to deliver data-driven solutions. With over 50 peer-reviewed publications, 7 patents and 10 international awards for his contributions to the fields of Machine Learning, Data Science and Natural Language Processing. Proficient at communicating with business stakeholders, understanding business pain points, formulating Machine Learning solutions, and leading a technical team to execute on the vision. Effective communicator and A.I. thought-leader – frequently invited speaker, panelist, and featured in the press. Serves on the Editorial Board of Data Mining and Knowledge Discovery (the leading journal in the field), and has served on the organizing committees of the top conferences in the field – ICML, KDD, CIKM and WSDM. Has worked in wide range of topics, including large language models (LLMs), recommender systems, customer analytics, customer targeting, question answering, dialog systems, healthcare analytics, medical diagnoses, text analytics, web mining, trend/topic detection, social networks, social media analytics, sentiment analysis, crowdsourcing, accounts collection optimization, e-commerce, active learning, cost-sensitive learning, and counter-terrorism. For a full list of publications, see: www.prem-melville.com
The University of Texas at Austin
Ph.D., Artificial Intelligence
N/A – Present
Brandeis University
B.A. summa cum laude, Double major in Computer Science & Mathematics
N/A – Present
Millennium Management
Head of Machine Learning
July 1, 2017 – Present
New York City Metropolitan Area
SIGKDD 2014
Program Chair (Applied Data Science Track)
August 1, 2013 – August 1, 2014
New York, NY
Social Alpha
Founder & Chief Executive Officer
August 1, 2013 – July 1, 2017
http://social-alpha.com/
IBM Watson Research
Senior Machine Learning Researcher/Data Scientist
February 1, 2006 – August 1, 2013
Cultural Fit Analysis
The candidate's diverse experience across investment management, research, and entrepreneurship, coupled with their academic background, suggests adaptability and a strong drive for innovation. Their leadership roles in pioneering data science initiatives (e.g., KDD, Social Alpha) indicate a proactive and influential approach. While the target role is 'Data Analyst', the candidate's profile is heavily skewed towards senior leadership, research, and strategic AI/ML roles. This might indicate a potential mismatch in expectations for a pure analyst role, which typically involves more hands-on data manipulation and reporting rather than strategic leadership or advanced ML system design. The breadth of experience is high, but the direct alignment with a typical 'Data Analyst' role is moderate.
Soft Skills & Operational Fit
The candidate's experience as a founder, program chair, and head of machine learning indicates strong leadership, strategic thinking, and project management skills. Their work at IBM Watson Research and Social Alpha suggests an ability to translate complex technical concepts into business solutions and lead cross-functional teams. The descriptions imply strong communication and collaboration skills, essential for operational fit.