Andrew Cron, Phd, Mba Email & Phone Number

New York, NY, US

Tampa, FL, US

• I lead data engineering and data science for Upshop, setting the vision and strategy to ensure differentiation through cutting-edge AI-powered solutions and world-class insights. By treating data as a core product, we.
• Leading a cross-functional team of data scientists and data engineers.
• Partnering with technology and product leadership to set the data organization’s vision, strategy, and execution, ensuring reliable data-driven technology offerings while fostering innovation and efficiency.
• Staying engaged with data science technology offerings and methodologies to ensure our teams leverage the most effective tools in the industry.
• Communicating our strategy and offerings to customers and industry leaders.Select Achievements:
• Increased throughput of insights solutions by 2x by implementing a modernized common data model strategy in the cloud, enhancing data processing and throughput while improving quality.

• I was promoted to set and steer the R&D vision and strategy for Kroger’s data analytics and data monetization subsidiary, enhancing Kroger’s in-store and supply chain operations, as well as CPG partner product.
• Direct 80-member cross-functional team comprised of researchers, data scientists, and engineers, including seven directors, across 84.51˚ and Kroger.
• Manage multimillion-dollar annual R&D budget; continuously evaluate resource allocation to drive maximum productivity and ensure exceptional ROI.
• Stay abreast of emerging research and trends spanning AI, ML, video analytics, Internet of Things (IoT), and operations research to identify innovative opportunities for improving customer experience (CX), pricing.
• Cultivate and maintain relationships with strategic partners in academia and corporate sectors to bolster innovation pipeline and sustain external support for key initiatives. Select Achievements:
• Generated tens of millions in operational profit impact annually and maintained over 10x ROI through development and deployment of R&D innovation strategy that leverages ML, AI, and operations research to balance.

Cincinnati, Ohio, US

• I was recruited to return to 84.51˚ in a key leadership role, driving research and methodology development for consolidation and unification of all demand forecasting processes applied across the entirety of 84.51˚ and.
• Reduced ownership costs 50% while improving efficiency, reliability, and accuracy by assembling dedicated, 15-member cross-functional product team to deliver scalable demand forecasting solutions for Supply Chain.
• Prioritized mentorship of next generation of data science technology leaders throughout tenure, enabling Forecasting team to continually scale and drive impact following promotion to Chief Scientist position.
• Improved forecasting accuracy and end-to-end ML operations while reducing costs by spearheading partnership with Microsoft to transition legacy forecasting capabilities to modernized cloud solution in Azure.
• Led development of household-level item demand solution that enabled Kroger to deliver personalized offers at scale, differentiating CX while driving 20%+ higher ROI than previous targeting solutions.

Durham, North Carolina, US

I was recruited by the Department Chair to join the adjunct faculty, mentoring graduate students as an industry expert and assisting them in finding exciting post-graduate opportunities. I also partnered with the University to recruit new students and identify new research collaboration opportunities in the industry.

Miami, Florida, US

• I led the development of multiple tools that equipped the organization with a robust modeling infrastructure and interactive forecasting applications in support of key alternative data product objectives.
• Built alpha-generating predictive models from alternative data sources using natural language processing (NLP), deep learning methodology, and time series modeling.
• Achieved 99%+ accuracy in automatic labeling, validation, and visualization of massive retail transaction datasets through creation of scalable framework, an ~100% increase over legacy manual processes.
• Predicted market-moving KPIs and identified new signals in alternative datasets by implementing usage of cutting-edge, state-of-the-art data mining and ML solutions; increased throughput ~100x.

Cincinnati, Ohio, US

In this role, I drove consistent decision-making across the Kroger organization by creating a predictive modeling framework that unified disparate retail forecasting processes into a single predictive model. I also leveraged my experience in academia to foster and manage 84.51˚’s collaboration with Duke University in support of creating new modeling.

• I was tapped to develop the end-to-end technology strategy and infrastructure for his ML-driven financial startup, including data pipelines and warehousing, high-performance back-testing tool suite, automatic trading.
• Collaborated with CEO to translate strategies into execution while managing business and technology risk; provided routine updates to shareholders.
• Led research and implementation of quantitative financial modeling for U.S. equities using deep learning and time series models.

Morrisville, NC, US

In this role, I delivered cutting-edge, targeted advertising solutions by implementing ML methods on massive data sets. I also yielded 100% improvement over manual solutions by creating the company’s first ML targeting solution for conversion-based campaigns.

Executive Mba

Ph.D, Statistical Science

Bachelor Of Science, Statistics And Mathematics