Experience

Cleo

• United Kingdom
• Financial Services
• 100 - 200 Employee

• Senior Product Manager (PM4) - ML

  • Nov 2020 - Present

  Improving the world’s financial health with Cleo, an intelligent assistant for your money. - Helping Cleo users understand their spending, income, bills & debts - from their transactions - Serving them with timely and engaging insights to improve their financial health - Developing Cleo's core conversational NLP - ML credit default risk scoring - Payment collection optimisation - Fraud - User behaviour prediction for optmising marketing spend Improving the world’s financial health with Cleo, an intelligent assistant for your money. - Helping Cleo users understand their spending, income, bills & debts - from their transactions - Serving them with timely and engaging insights to improve their financial health - Developing Cleo's core conversational NLP - ML credit default risk scoring - Payment collection optimisation - Fraud - User behaviour prediction for optmising marketing spend



GamerItemSupply.com

• Founder

  • Nov 2020 - Jun 2022

  *** Acquired in June 2022 *** ------------------------------- Many people got (back) into video games during COVID lockdowns. I ended up obsessed with trading virtual in-game items in the video-game Rocket League. With an impromptu web search & 10 mins of keyword research, I found a sizeable market of people looking to buy these items directly (as opposed to trading with other players). Initially starting by creating listings on eBay for a handful of the most popular items, the market was strong and underserved. Over the course of a few months, I launched GamerItemSupply.com, automated operations (particularly dynamically updating pricing & re-stocking using web scraping & various APIs), expanded the product offering to every item in the game (over 10,000 items) & grew organic traffic to 2k sessions/month. Avg $53k/year turn-over and $23 gross profit/customer - with 0 marketing spend.



Remixology

• United Kingdom
• Musicians
• 1 - 100 Employee

• Advisor / Consultant

  • Jan 2019 - Nov 2020

  Built serverless system to create and update a complete discography of all music ever released (artist, release, album, track etc) - including commercial performance - to be the fundamental basis of Remixology’s content & recommendation platform http://www.remixology.net/ Built serverless system to create and update a complete discography of all music ever released (artist, release, album, track etc) - including commercial performance - to be the fundamental basis of Remixology’s content & recommendation platform http://www.remixology.net/



Babylon

• United Kingdom
• Hospitals and Health Care
• 400 - 500 Employee

• Lead Product Manager - Data Science Platform

  • Dec 2019 - Aug 2020

  ► Promoted to create, and lead the Data Science Platform tribe (3 squads) - combining separate, previously disparate teams into a cohesive tribe focusing on a single mission of supporting the data science development lifecycle end-to-end, globally, for healthcare - through data understanding, access, annotation, development & modelling, pipeline management, version control, deployment, monitoring & testing!► Thought leader & advisor on applied machine learning & data strategy to senior management & other PMs► Responsible for line-management of 1 PM, and coaching of 1 APM, 1 PM and 1 doctor transitioning into product management

• Product Manager - Data Annotation

  • Nov 2018 - Dec 2019

  ► Led squad from team inception through to product maturity; building a healthcare ground-truth annotation platform, supporting ML product development/learning & real-world clinical testing.► Increased efficiency of clinical testing; establishing human-in-the-loop for Triage product & ​saving ~£800k/year in clinical-hours



Moneycado

• United Kingdom
• Financial Services

• Head of Product

  • Jul 2018 - Nov 2018

  ► Founders Factory accelerator cohort with 2 co-founders ► Translating travel aspiration into financial action; using machine-learning & open banking to make saving for travel a more rewarding experience, that's more about the trip, than it is about the saving. ► Pivoted to creating an easy way to manage and settle group holiday expenses https://travelwithmoneycado.com/ ► Founders Factory accelerator cohort with 2 co-founders ► Translating travel aspiration into financial action; using machine-learning & open banking to make saving for travel a more rewarding experience, that's more about the trip, than it is about the saving. ► Pivoted to creating an easy way to manage and settle group holiday expenses https://travelwithmoneycado.com/



ASOS.com

• United Kingdom
• Retail Apparel and Fashion
• 700 & Above Employee

• Product Manager - AI/ML & Data Science

  • Apr 2017 - Sep 2018

  ► Spearheaded establishing 5 cross-discipline, vertically-integrated AI/ML product teams, aligned to measurable business outcomes (introducing OKRs for each team); totalling 40+ team members of data scientists, BAs, big data & software engineers ► Provided product leadership & evangelism of machine-learning across the business; growing the departments working with data science from 2 to 6 ACHIEVEMENTS - ► Delivered £31m incremental revenue/year from: Personalised Product Ranking, Out-of-Stock Alternatives, Trending Products & "You Might Also Like" - via a bleeding-edge recommender system ► Delivered £5m cost efficiencies/year from Predictive Delivery Carrier Selection (UK), with scope for ~£5m more globally ► Delivered groundwork for fast algorithmic iteration: full CI/CD, Data Scientists can deploy algorithms in <2 hours. Delivered 1st Python API & 1st Kubernetes cluster in prod @ ASOS & 1st API in prod built on Microsoft's AML v2 platform globally ► 4 papers published by the teams in leading ML journals (KDD, ICML) CORE RESPONSIBILITIES - ► Evangelise data science products & capabilities across the business ► Work with business stakeholders & data scientists to establish & maintain a shared vision, strategy & roadmap for the data science teams ► Communicate product development progress to stakeholders KEY PRODUCT AREAS - ► Personalisation (developing a set of bleeding-edge, real-time, personalised recommendation system capabilities) ► Marketing Science (Churn/LTV prediction, propensity & affinity models, fractional attribution, ad content & bid optimisation) ► Retail Science (buying, merchandising, pricing, design & product attribution) ► Supply Chain Optimisation (delivery time prediction, forecasting, supply chain modelling, delivery & returns cost optimisation)



minicabit

• United Kingdom
• Technology, Information and Internet
• 1 - 100 Employee

• Data Product Manager

  • May 2015 - Apr 2017

  Member of senior leadership team, direct report of CEO► Heavily involved in business strategy, development, decision making & hiring► Instrumental in the growth that saw the company through post-seed & Series-A funding ► Responsible for financial, business & cost/benefit modelling for marketing strategies, decision making & operations resourcing► Data Scientist intern & Digital Analyst direct reports► Responsible for managing Commercial team members' priorities & focus► Managed development of core quoting algorithm rebuild► Led the strategy & development of personalised lifecycle CRM --> +30% LTV► Managed SEO dev & strategy, managed PPC agency --> +80% YoY organic traffic, -35% CAC► Managed conversion rate optimisation (CRO) dev & strategy --> +35% ecommerce conversion► Built "Star Rating" system (Bayesian avg + decay) & redesigned review UX --> +150% rating rate► Led analysis to identify, characterise & attribute marketing personas► Designed data architecture for in-house (web) analytics & marketing attribution► Designed, developed & maintained wide variety of automations (alerts, workflows, reports)► Developed interactive insight tool (Tableau) to visualise marketplace dynamics, highlighting geographical and commercial areas for focus for Commercial and Marketing teams

• Product Analyst / Growth Hacker

  • Oct 2014 - Jul 2015

  Cross-functional role, across data, product, marketing and operations.► Ideation, design & execution of marketing, operational and product innovations informed by data mining, analysis and immersion in the business's data & strategy► Development of extensive business intelligence platform & real-time KPI dashboards► Large amount of SQL scripting/analysis (cohort analysis, customer profiling & segmentation, operational & financial reporting)► KPIs & analysis for board meetings

• Data Analyst

  • Jul 2014 - Oct 2014

  ► Commercial analysis, marketing campaign analysis, customer profiling & segmentation► Product analysis, business & marketing strategy and financial reporting► Data mining, cleaning & analysis using SQL, Excel & VBA



Latham & Watkins

• United States
• Law Practice
• 700 & Above Employee

• Law Intern (Intellectual Property & Data Privacy)

  • Sep 2014 - Sep 2014

  ► Drafted data sharing agreements for a global charity ► EU data privacy legislation research for global consumer tech company ► Drafted data sharing agreements for a global charity ► EU data privacy legislation research for global consumer tech company



American Century Investments

• United States
• Financial Services
• 700 & Above Employee

• Sales & Marketing Intern

  • Dec 2013 - Dec 2013



Imperial College London

• Research Services
• 700 & Above Employee

• Scholarship Fundraiser

  • Sep 2013 - Dec 2013

  2nd highest fundraiser of ~50 callers, raising £14,000 with highest call-to-donation ratio (68%) 2nd highest fundraiser of ~50 callers, raising £14,000 with highest call-to-donation ratio (68%)



Thomas Eggar

• United Kingdom
• Law Practice
• 1 - 100 Employee

• Law Intern (Corporate Finance & Commercial Dispute Resolution)

  • Sep 2013 - Sep 2013



Skandia

• Sweden
• Insurance
• 700 & Above Employee

• Fund Management Summer Intern

  • Aug 2012 - Sep 2012