Jan 2024 – Mar 2025 · 1 yr 2 mos · Atlanta, Georgia, United States · Hybrid

• ATD is a $5B revenue logistics provider with ~5000 employees.
• Executive leader responsible for delivering success across ATD's full Data & Analytics organization, including data science, data engineering, business intelligence, automated decisioning, and overnight/offshore monitoring. Responsible for setting, executing, and evaluating strategic objectives using OKRs across a diverse portfolio encompassing all business functions of the enterprise. Systems include enterprise reporting platforms, Google Cloud Platform, a Palantir Foundry-based automated decisioning engine in conjunction with Oracle EBS, forecasting + demand planning, market demand forecasting, and a range of digital systems and products spanning topics of
• Data Platforms (enterprise reporting, third-party integrations, internal pipelines, EDI, etc)
• Forecasting, market intelligence, and machine learning
• B2B eCommerce & API Platforms
• Warehouse Operations and supply chain enablement
• Automation and Decision Intelligence
• Selected Highlights Include:
• Led the overhaul of team planning and execution, delivering a Google cloud-based data platform and use case for 110+ US warehouses, resulting in 45% data warehousing cost savings
• Delivered a nationwide rollout of sales tool from zero-to-launch leveraging mixed-integer optimization to drive brand conversion amidst severe industry headwinds, resulting in 10% loyalty program increase
• Created industry first panel dataset consisting of over 15k individual points-of-sale and leveraged this asset to create a market demand forecast nationwide by zip code and SKU
• Delivered a system for automated decisioning of inventory rebalancing across 110+ warehouses nationwide resulting in millions of decisions made per day for repositioning and replenishing individual stocking points
• Modernized cloud infrastructure with automated DevOps practices (IasC, terraform) and IAM management for sensitive data, enhancing security across the enterprise

Dec 2019 – Dec 2020 · 1 yr · Charlotte, North Carolina Area

• Lead the advanced analytics technology team and oversaw data engineers, software engineers, and data scientists. Here, I developed machine learning and forecasting applications, managed 8 direct reports, and reported to the Chief Analytics Officer. I owned all technology aspects, including Cloud Ops, development standards, tech selection, job profiles, and budgets. I led the transition from a core data science group to a full software company.
• Selected Highlights Include:
• Developed a market analysis application and profit optimizing tool for customers to anticipate trends and gain a competitive edge in tire demand forecasting, resulting in increased market share.
• Established initial Agile framework, software engineer hires, and hiring processes.
• Cultivated an inclusive, progressive, and high-performing workplace culture to support sustained growth.

Sep 2018 – Dec 2019 · 1 yr 3 mos · Charlotte, North Carolina Area

• Principal Data Scientist recruited as the 4th hire within the Advanced Analytics Center of Excellence at ATD reporting to the Chief Analytics Officer. Responsible for a mixture of hands-on and managed data science projects with broad reach across multiple core business units including Supply Chain, Sales, Merchandising, Logistics, and Finance. Strongly focused on problem triage and driving business value through data-driven applications.
• Relevant topics include essentially any statistical, computational, or ML technique necessary to accomplish the task at hand including the learning of new technologies and methods. Particular areas of focus included constrained optimization (linear and mixed integer programming) and Monte Carlo simulations.
• Selected Highlights Include:
• Managed data science initiatives for sales at ATD, serving as a hybrid contributor and portfolio manager.
• Developed a strategic sales optimization software application for sellers to maximize the profitability of a customer within a complex reward ecosystem, involving a domain-specific language, optimization algorithm, web application, and cloud hosting.
• Oversaw rollout, training, and general change management for 350+ sellers. Within one year, over 90% of the lost volume was replaced ($300M attributable to this capability).

Dec 2020 – Jan 2024 · 3 yrs 1 mo · Charlotte, North Carolina, United States · Remote

• Torqata is a data-driven software company providing tailored market intelligence and planning support to automotive/tire retails through point-of-sale integration. I led all technology and analytics efforts as the CTO to streamline tire shop operations and boost revenue. I managed an approximately $8-15M budget and built a team of over 65 engineers from the ground up. I developed software products, implemented technology tools, and established cloud infrastructure from scratch.
• Torqata is a data and analytics SaaS company in the after-market automotive solutions and tire industry that seeks to provide valuable, insightful analytics services towards the goal of creating a digitally connected ecosystem across the value chain from manufacturer to end consumer.
• Selected Highlights Include:
• Grew startup into a world-class software company, scaling from 10 to 115 employees with the majority being some form of engineering.
• Played a pivotal role in the spin-out process, overseeing legal entity separation, financial setup, and technological architecture
• Established OKR/Agile processes and surrounding incentive programs including quarterly planning and a SAFe-like Agile framework implementation.
• Implemented SOC2 compliant practices and obtained Phase I/II certification within the minimum timeframe of ~18 months and maintained this standing for 3 subsequent consecutive years

Oct 2017 – Sep 2018 · 11 mos · Greater Atlanta Area

• As the first non-executive employee at a startup incubator, I established machine learning and AI capabilities to guide career pathways using vast datasets.
• Selected Highlights Include:
• Implemented big data techniques, developed real-time machine learning services, and enhanced platform performance by redesigning the PostgreSQL database and migrating to a distributed Citus cluster.
• Managed all AWS resources, ensuring scalability and efficiency.

Sep 2013 – Jun 2018 · 4 yrs 9 mos · Greater Los Angeles Area

• Member of the Miao Coherent Imaging Group. Research topics included:
• Electron tomography of biological and material samples using both Transmission Electron Microscopy (TEM) and Scanning Transmission Electron Microscopy (STEM)
• Coherent Diffraction Imaging (CDI) of samples using X-rays from synchrotron facilities and X-ray Free Electron Lasers (XFELs)
• Studies of Fourier synthesis imaging in radio astronomy