Michael Peart Email & Phone Number

San Francisco, Ca, Us

Brooklyn, Ny, Us

Oversaw the complete rebuild of Frameology's online store on Shopify including marketing integrations, SEO optimization, user analytics, and fulfillment operations. Some notable projects include: • The design, architecture, and integration into the PDP of Framebuilder, our React application, which that allows customers to upload, crop, and preview their photos in any Frameology frame to give a pixel-perfect preview of the keepsake they are about to purchase. • Introduced predictive modeling to Frameology.com and marketing channels buy combining inferences generated by computer vision models to analyze the contents of images our customers upload with event data from GA4 to produce product recommendations for the frames a customer is most likely to purchase containing an image with the content that they are most likely to respond to.

Brooklyn, Ny, Us

Beverly Hills, California, Us

• Intentionally joined the Ecommerce team at Alo as the Head of Product for 6 months to help launch the product team. Stayed for 3 extra months when COVID started. partner with months • Launched AloYoga's first mobile app on iPhone and Android• +300% Revenue growth (YoY), +30% conversion rate & +50% AOV

San Francisco, California, Us

- Define product vision to align the development efforts for a suite of apps we call Sutro across a team of 20 data scientists and engineers.- I directly oversee Product, Design, QA, and Support- Sutro is the result of combining 15 years of industry experience and insider information with artificial intelligence, machine learning, company insights, third party data ingestion, automated sourcing, applicant tracking, and email communication. Key Deliverables: - Implemented Objectives and Key Results to drive (and preserve) alignment across all areas of technology investment. - Launched our employment ingestion app, called Connect, that ingests, normalizes, classifies and codes employment data for more than 5,000 candidate profiles per day...in real time. - Developed more than 30 Artificial Intelligence & Machine Learning models to normalize and provide a discoverable structure to more than 600,000 candidate profiles. Some examples of our production models include: * The probability that a candidate will leave their current employer in the next 6 months* Whether a candidate is an Engineer, Data Scientist, or Product Manager* The experience level of each candidate (ie., CXO, VP, Director, etc)* The quality of a candidate* The likelihood that a candidate is qualified for and interested in any of our open jobs- Re-built our non-executive team from a band of 5 full-desk "contingency" recruiters into a modern, AI-driven talent marketplace that rebalances our supply of candidates (leads) against the ever changing demand portfolio of open jobs at our partner companies...in realtime- Successfully piloted this new pricing model with Goldman Sachs, Roblox, Getaround, Github, and Caffeine.tv. My team uses:- Airtable for the Roadmap and Asana for gathering feedback- An adapted Design Sprint methodology to re-design 1 core product area per quarter. Mockups using Sketch + Craft + Invision- We measure feature adoption & impact using Heap Analytics

San Francisco, California, Us

- Started the Data team at Riviera which eventually grew to 10 data scientists, data engineers, and data analysts- Implemented Tableau for data visualization- Identified KPIs for driving down aggregate search age across the retained executive proactice while incentivizing discovery of new candidates through Company Type, recent Activity, and applications on similar jobs- Built the foundation of Riviera's Taxonomy framework to categorize function type, seniority, and skills that we now use to classify, in realtime, more than 600,000 people into Engineers, Data Scientists, and Product Managers at the levels of CXO, VP, Director, Managers, and individual contributors and by company type including Consumer/Enterprise, company size/stage, industry, and growth/business-model, product type, etc.

Windsor, Connecticut, Us

During my time at Eze, I was responsible for onboarding growth-stage Hedge Funds and building software products for existing fund managers. Key Deliverables: - Onboarded Criterion Capital Management, Anschutz Investment Company- Re-implemented the Eze suite of apps for Valiant Capital Management, Denver Investment Advisors- Supported the launch of First Quadrant, Union Point, TPG, and Vista Equity Partners- Primary point of contact for Eze's largest West Coast clients: Partner Fund Management, Ascend Capital Management, and more

Windsor, Connecticut, Us

Public sector consulting and professional services firm providing strategic advice on and software support for transnational knowledge management.

Applied for and received grants from the Swiss National Science Foundation, European Commission, European Science Foundation, and United Nations to conduct research into the impact on democratic institutions of innovations in communication technologies. We built numerous websites through our technology arm, Zeep, spun out into a private sector enterprise through the Technology Transfer offices of the Universities of Geneva, Zurich and Edinburgh. This is where I learned I liked making software more than writing about it.

B.A., International Relations With Honors - Global Security

Exchange - Mba, Business Administration

M.I.A., International Affairs And Political Economy