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VP, Data & Analytics at Corient | ex-McKinsey/QuantumBlack
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Experienced technology and data science leader focused on data-driven solutions that deliver measurable business outcomes. Operates at the intersection of business and technology, aligning data/AI capabilities with organizational priorities to make data a competitive advantage. Passionate about building high‑performing teams and creating a scalable data ecosystem/culture that drives innovation.
Georgia Institute of Technology
Master of Science - MS, Computer Science (specialization in Machine Learning)
January 1, 2018 – January 1, 2019
Columbia University
Bachelor of Science (BS), Operations Research with a concentration in Financial Engineering and Computer Science
January 1, 2008 – January 1, 2012
Corient
VP, Data & Analytics
April 1, 2024 – Present
On-site
McKinsey & Company
Principal Data Scientist | DS Engagement Manager
October 1, 2023 – April 1, 2024
McKinsey & Company
Jr Principal Data Scientist
October 1, 2021 – October 1, 2023
McKinsey & Company
Senior Data Scientist
June 1, 2019 – October 1, 2021
Royal Caribbean Cruises Ltd.
AI Tech Lead
March 1, 2018 – June 1, 2019
Miami-Fort Lauderdale Area
Rep - Mensch Labs
Software Engineer
September 1, 2017 – March 1, 2018
San Francisco Bay Area
Salus Solutions
Co-Founder & CTO
May 1, 2016 – September 1, 2017
Columbia University in the City of New York
Women's Water Polo Club Coach
January 1, 2013 – April 1, 2013
New York City Metropolitan Area
Novantas
Senior Solutions Associate
September 1, 2012 – April 1, 2016
New York City Metropolitan Area
Societe Generale
Credit Strategy Intern
June 1, 2010 – December 1, 2010
New York City Metropolitan Area
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Machine Learning
Coursera - Stanford University
June 24, 2026 – Present
Hadoop 101
Big Data University
June 24, 2026 – Present
Spark Fundamentals I
Big Data University
June 24, 2026 – Present
Big Data Integration and Processing
Coursera
June 24, 2026 – Present
Applied Machine Learning in Python
Coursera
June 24, 2026 – Present
Applied Text Mining in Python
Coursera
June 24, 2026 – Present
Big Data Modeling and Management Systems
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Convolutional Neural Networks
Coursera
June 24, 2026 – Present
Sequence Models
Coursera
June 24, 2026 – Present
Fundamentals of Building AI Agents
IBM
June 24, 2026 – Present
Machine Learning With Big Data
Coursera
June 24, 2026 – Present
Graph Analytics for Big Data
Coursera
June 24, 2026 – Present
Neo4j Certified Professional
Neo4j
June 24, 2026 – Present
Process Mining: Data science in Action
Coursera
June 24, 2026 – Present
Generative AI with Large Language Models
DeepLearning.AI
June 24, 2026 – Present
Introduction to Generative AI for Software Development
DeepLearning.AI
June 24, 2026 – Present
Team Software Engineering with AI
DeepLearning.AI
June 24, 2026 – Present
AI-Powered Software and System Design
DeepLearning.AI
June 24, 2026 – Present
Generative AI for Software Development
DeepLearning.AI
June 24, 2026 – Present
Develop Generative AI Applications
IBM
June 24, 2026 – Present
Build RAG Applications
IBM
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across consulting (McKinsey), wealth management (Corient), cruise industry (Royal Caribbean), and startups (Salus Solutions, Mensch Labs) demonstrates adaptability and exposure to various business environments. Their progression through senior data science and leadership roles indicates ambition and a drive for impact. The extensive list of certifications, particularly in AI/ML and Big Data, shows a commitment to continuous learning and staying current with industry trends. While the target role is 'Data Analyst', the candidate's profile leans heavily towards Data Scientist/ML Engineer with significant leadership experience, which might indicate an overqualification or a potential mismatch in day-to-day responsibilities if the Data Analyst role is purely execution-focused without strategic or leadership components. However, their background in financial engineering and operations research aligns well with analytical rigor.
Soft Skills & Operational Fit
The candidate's experience at McKinsey & Company as a Principal Data Scientist and Engagement Manager suggests strong leadership, client advisory, and project management skills. Their role as Co-Founder & CTO at Salus Solutions also indicates entrepreneurial drive, problem-solving, and strategic thinking. The descriptions highlight the ability to lead multi-disciplinary teams and advise executives, which are critical for operational fit in senior roles.