Michael Ng Email & Phone Number

Washington, Dc, Us

Redwood City, California, Us

• Spearheaded solutions design for a product suite of enterprise AI applications in the Federal space, launching ML and AI models at scale to improve forecasting, optimization, and analytical transparency for a primary branch of the United States military, driving a 95% decrease in time-to-value.• Led cross-functional teams of Data Scientists, Engineers, Solutions Architects, and Product Designers to build a generalized application architecture for the custom deployment of AI models.• Served as the primary client-facing liaison, directly interfacing with senior executive leadership and users alike to facilitate product design, requirement gathering, and wireframing, presenting and validating application architecture, and composing product specification documents.

New York, New York, Us

• Created, managed and led ML/AI, data science and analytics strategy, budget, and roadmap from the ground up, owning full tech vertical to scale brand operations and intelligence for a portfolio of omnichannel consumer brands in the Women's Health space. Reporting directly to CEO, managed full engineering and data science team in agile product delivery process. • Built foundational infrastructure and engineering stack from scratch; configuring ELT data ingestion tools, architecting cloud data warehouse, designing live BI dashboards and reports, and training proprietary ML jobs in production, all managed through cost efficient cloud infrastructure. Supported dozens of dashboards, analytics products, and critical company KPIs across the firm used for daily decision making by operational and executive teams.• Led design and deployment of multiple predictive modeling and ML tools in production, training proprietary machine learning algorithms for demand forecasting as well as for acquisitions underwriting. Resulting in over 60% improvement in operational efficiency as well as 85% hit rate for new acquisition capital deployed.• Pioneered launch of AI platform for new product ideation, parsing unstructured market data to create innovation clusters and surface relevant product features to Brand team. Leveraged techniques including embeddings, clustering, Supervised Fine-Tuning (SFT) and Retrieval Augmented Generation (RAG) for proprietary app.• Built key data assets for digital marketing and PPC strategy, measuring cross-channel attribution across multiple channels in real time and developing advanced metrics to 2x ROAS over periods of peak traffic• Developed proprietary CLTV and customer retention tools, leveraging data on customer purchase behavior to inform customer engagement strategy through digital marketing, driving 30% increase in retention YoY

New York, New York, Us

I was the first technical hire and a member of the founding team at Intrinsic, an eCommerce acquisition and growth platform, uniquely focused on digital-first women's health brands. The Company is led by consumer health experts with deep experience in building and growing CPG brands across all online and offline channels, with special expertise on Amazon. Our mission is to build brands that make a difference in the lives of women and those they love. Intrinsic was founded in partnership with Redesign Health and has raised $128 million in capital. Additional investors include FCA Venture Partners, MAP Invesco, Define Ventures and Link Ventures.

Chicago, Illinois, Us

• Optimized sales conversion funnel for series E B2B SaaS AI company later acquired by Salesforce, focused on Natural Language Generation (NLG) and Generative AI for enterprise clients across sectors, identifying product pain points by customer segment. • Worked collaboratively with product marketing, product management and growth teams to deliver reccomendations for revenue operations, identifying marketing and sales tactics to tackle conversion bottlenecks• Utilized unsupervised machine learning techniques to identify and classify unique customer segments based on behavioral and demographic data, providing customer insight to executive leadership

Beaverton, Or, Us

• Translated advanced analytics into actionable business insights, proposing new algorithmic pricing and promotion strategy of a $300+ million business on Nike.com to drive significant incremental revenue, presenting to senior digital leadership teams across strategy, finance, analytics and product• Managed end-to-end data science stack to analyze and decompose digital conversion funnel, training machine learning models on millions of observations of clickstream and transaction data to deliver key customer insights, KPIs and new algorithmic pricing model as part of analytics pipeline• Provided analytical insight of Covid-19 business impact, tracking shifts in omni-channel demand during the virus to inform multi-million dollar investment in digital transformation efforts

Washington, Dc, Us

Economics Studies - Hutchins Center on Fiscal and Monetary Policy• Conducted research and analysis focused on macroeconomics, monetary policy and finance for former Federal Reserve Chair Dr. Ben Bernanke, Dr. Louise Sheiner, Mr. David Wessel, and others • Managed a team to build an empirical model of the financial crisis, using R to conduct factor analysis and dynamic simulations of financial data; findings used in Ben Bernanke’s academic paper “The Real Effects of Disrupted Credit” receiving 200+ citations, including Dr. Bernanke’s 2022 award for the Nobel Prize in economics • Proposed institutional modernization strategy in data science by interviewing practitioners, creating training resources in machine learning, and presenting to executives, driving collaboration of 65+ staff across divisions• Created internal interactive dashboard of economic data by creating product roadmap, managing joint coding process, collecting user data and prioritizing features used by 50+ staff and scholars in research and writing including Former Fed Chair and Treasury Secretary Janet Yellen• Oversaw development of internal system to simulate effects of economic policy, running stochastic simulations in MATLAB; results used in research paper "Monetary Policy Strategies for a Low Rate Environment" receiving 50+ citations and driving the adoption of the Fed's new Average Inflation Targeting framework in 2020. The work was also codified in Bernanke’s 2022 book “21st Century Monetary Policy”• Instituted new design features of fiscal policy research tool by improving model sophistication, streamlining production process, and writing code documentation; work published in the book “Recession Ready”• Drafted policy solutions by synthesizing insights from complex research into concise briefs targeted at federal policymakers, receiving 63,000+ page views and driving multi-billion dollar changes in tax and monetary policy

Washington, Dc, Us

Monetary Affairs (MA) Division, Financial Intermediaries Analysis (FIA) Section• Created centralized SQL database and ETL workflow covering large financial institutions by leading a cross-functional team of developers, economists, and analysts across Fed branches, expanding scope of risk assessment tools by 50% • Delivered analytical insights to executive leadership teams, using principal component and regression analysis and writing research briefs to estimate multi-billion dollar market risks of broker-dealer trading activities • Analyzed financial market volatility, using Bloomberg News and Google Trends data to conduct sentiment analysis of bank stock prices, measuring market effects of regulatory proposals in report to senior leadership • Studied quantitative hedge funds' use of leverage, exposure to market movements, and effects on asset pricing, writing several memos for senior officers on Risk Parity funds

Washington, Dc, Us

• Led change management process for research reports workflow and ETL pipeline by managing joint coding process and developing automation of data visualization, resulting in 35% increase in workflow efficiency • Conducted statistical analysis of mutual fund flows by collecting data, building standardized metrics, and documenting production process, used in a briefing delivered directly to the Federal Open Market Committee• Created data visualization for market monitoring reports on leveraged loans, hedge funds, and brokers dealers for the Federal Open Market Committee, such as briefings, the ‘Tealbook’ and quantitative surveillance memos

Master Of Business Administration - Mba

B.A, Economics; Government & Politics

High School Diploma