PPE + Social Data Science at UCL (First Class), heading to Babson for an MSc in Entrepreneurial Leadership this autumn. I co-found ventures, audit ESG for global corporates, and build models for what makes startups win.
/ the short version
I'm a founder who thinks in models. UCL gave me the toolkit — PPE for the why, Social Data Science for the how — and I've spent the last three years putting it to work in ESG audits, e-commerce, and ML.
I'm interested in the messy interface between markets, models, and decisions: where good data ends and judgement begins. Heading to Babson next to sharpen the founder side of that equation.
/ now
/ based in
London,
UK
The best way to understand a system is to try to build one — and the second best way is to model it.
The toolkit I reach for — and what I'm sharpening next.
Quant & code
Finance & ESG
Methods
Sharpening next
A handful of recent things — academic, entrepreneurial, and for fun.
Trained Random Forest and SVM classifiers on a Crunchbase dataset of 54,000+ companies to predict whether early-stage startups get acquired or shut down. Compared models on accuracy, F1, and AUC; surfaced which funding-stage features actually matter.
Argues Nagel's "what is it like to be a bat?" problem isn't binary — phenomenological access is graduated. Applies the framework to large language models.
Mapped FTA co-memberships across 193 UN states. Ran centrality, community detection (Louvain, walktrap), and ERGM models with legal-origin and log-GDP covariates in R.
Co-founded a Singapore e-commerce venture selling posture-correcting devices. Sourced SKUs from Chinese manufacturers, ran end-to-end ops, then paused to refocus on Babson. Open to relaunching.
Vanilla-JS take on the classic. Win detection, drop animations, last-move ring indicator. Built as a break between dissertation chapters.
Heading to Babson to formalise the founder side of my training and build the network for what comes after UCL.
Researching digital twin tech for a City of London partnership pitch with Buro Happold. Analysing building-optimisation scenarios for a simulation-first decarbonisation platform targeting 1,528 ktCO₂e in reductions.
Quantitative methods, machine learning, econometrics, and political theory. GRE Quant 170/170. Top-3 finishes at the Impact Investment Championship and the Equity Research Analysis Competition.
Sourced posture-correcting devices from Chinese manufacturers; ran pricing, inventory, fulfilment, and customer service end-to-end. Paused to focus on Babson — relaunch is on the table.
Advised clients on ISSA 5000 implementation; supported sustainability audits for 5+ mid-to-large corporates, recalculating Scope 1–3 emissions. Cut deck-prep time by ~45% with AI-assisted workflows.
Instructed 50+ medic trainees in CPR, AED protocols, and patient assessment before deployment. Oversaw on-site safety, water regimes, and cooling measures across jungle missions — zero heat-injury casualties on my watch.
/ 05 · let's connect
Open to founder conversations, investor intros, research collaborations, and the occasional cold email from someone interesting. Email is fastest — I usually reply within a day.
ovevayrus@gmail.com