Enabling brands to solve the cold start problem of launching new products.Brands selling on Amazon can now unlock a new full-funnel advertising solution in the U.S. to help quickly introduce their latest product innovations to consumers—whether on Amazon properties or elsewhere—within the crucial first 90 days of launch. This managed service provides data-driven media plans, leveraging a curated set of 1P and 3P audio, video, device, and display inventory, paired with new creative visuals designed for product launch goals. This coupled with Amazon’s unique retail insights and advanced measurement tools, like Amazon Marketing Cloud, allows brands to understand and optimize performance across the customer journey. Best of all, Amazon Ads orchestrates every aspect—from planning, measuring to making sure the right inventory is available based on budget—allowing brands to focus on building their brand while we handle the rest.

Investing in seed stage software companies that transform the modern enterprise

Specializing in Data Science (Data, Analytics, ML and LLMs), I offer strategic guidance to data-rich companies with a large customer base, particularly those funded by private equity or venture capital. My expertise lies in identifying and capitalizing on untapped data and AI opportunities within these organizations, leveraging their existing data and distribution strengths to create a leap in valuation. Find out more about the work I do here: http://novex.ai

Retina provides solutions with specific focus on generating business value using Data and AI. Retina's customers include Nestle, Capital One, Madison Reed, Backcountry.com, Brickell, and many others.• Raised $13M in total funding (Seed, Seed 2 and Series A), led by Comcast Ventures and other top VCs• Grew recurring revenue by at least 3X annually, with $50M+ in qualified sales pipeline • Shipped 40+ major product launches and built customer success program with ~90% logo retention• Hired and managed a team of high caliber engineering, product and data science employees • Presented insights and trends around eCommerce at 4-6 industry events a year and provided insights to major outlets (e.g. Wall Street Journal)• Managed the company's finances, including budgeting, forecasting, and cash flow management • Wrote the original code for the company in R and Python

• Xpertly used big data analytics to automate introductions between team members of large organizations. This directly enabled increased employee satisfaction and also fostered innovation by breaking down departmental silos • Founded early stage tech startup and on-boarded four initial clients with more than 750 executives and managers• Facilitated more than 3,000 introductions resulting in new careers, mentorships and career advice for members• Developed prototype software using state-of-art data science technologies (e.g. AWS, R-Shiny, Structured Machine Learning - Boosted regression trees)

• Led all analytics and marketing measurement activities for Facebook's business marketing team using data science and machine learning approaches• Leveraged data science tools such as R, R-Shiny, Matlab and Tableau to enable data transparency, experimentation, and automation of marketing operations• Started and led the marketing operations team which is responsible for setting Global Marketing team's (250+ people) goals, budgets, reporting, analytics and investment cases. The mission of this team was to enable efficiency for Global Business Marketing via tools, analytics and optimization. • Partnered closely with the VP of Global Business Marketing to manage operations and strategy resulting in 90% growth of the team.• Designed and deployed a resource management tool which enabled transparent budget management for the global team saving an estimated $XM of team's operation cost.• Developed a marketing event revenue impact measurement tool that reliably estimates impact on revenue for each marketing event. This tool is now used by all business marketing teams at FB.

• Devised measurement and analytics strategy for Facebook's Global Business Marketing team resulting in reporting and analytics on digital marketing channels• Worked closely with Head of Operations on establishing baseline metrics on daily operations • Provided analysis to measure impact of Executive Briefing Center on revenue and product adoption using new concept of relative spend

• Led development of ‘Financial Instruments & Institutions’ dashboard/database and identified opportunities, resulting in partnership agreements with Bank of America and JP Morgan Chase • Designed and deployed automated business health monitoring system for three PayPal portfolios, minimizing the need for daily dashboards. This product autonomously analyzes dashboards, generates reports and notifies managers• Prototyped machine learning (classification and clustering algorithm) to train and predict consumer activity segments for more than 53M active PayPal members • Conceptualized ‘Unstructured Machine Learning’ (Clustering) as a means of segmentation of PayPal’s consumer accounts, resulting in targeted marketing and better propensity scoring• Automated time series forecasting of BillMeLater reporting by developing customized analytics application for the Decision Science forecasting team, enabling error free forecasting at all levels of KPI• Worked closely with PayPal Large Enterprise team to combine PayPal's Salesforce.com data with transactional data, resulting in actionable insights for relationship managers• Prototyped classification algorithm to predict and prevent consumer churn based on Bagged Decision Trees algorithm

• Developed historical and predictive metrics that provide clients with insight into program performance, risks and schedule• Significant deliverables include : (1) Determining key performance indicators (2) Data mining for business intelligence (3) Building regression models (3) Automated report generations (4) Designing dashboards

• Developed analytics tool to help department managers forecast staffing supply and demand• Coded simulations for satellite control system algorithms• Led a team of engineers on a test floor to build a $300M satellite• Scripted rapid data processing and visualizing tools used to reduce issue resolution time• Led investigations into issues reported on satellites in orbit by Boeing's customer• Analyzed telemetry data, developed root cause analysis and proposed recommendations to the customers

• Devised the architecture for autopilot algorithms and led a team of engineers to develop the $600K product from requirements to test• Invented a lighter weight control system that replaces the conventional control rods with electronic motor driven systems *See patents section below*• Designed optimized hydraulic fault protection system for S-92 Fly By Wire helicopter program