London, England, United Kingdom
I am an investment professional driven by a singular goal: to generate alpha by integrating advanced statistical modelling and technical mastery into the investment process. My background spans across Venture Capital, Equity Research, and Structured Finance, giving me a multi-faceted perspective on risk, valuation, and capital allocation. Currently, as an Investment Analyst in Venture Capital, I spearhead equity analysis for Healthcare and AI Infrastructure opportunities from Seed to Series C. I leverage a deep understanding of GPU/compute economics and data centre infrastructure to evaluate the scalability of emerging AI start-ups. To ensure precision in volatile private markets, I engineer advanced valuation frameworks; including Multiples, DCF, and Option-based models using Python. Key Career Highlights: • Venture Capital: Managing complex data rooms and delivering data-backed IC memoranda to streamline approvals for structured private market investments. • Equity Research: Contributed to a 12% portfolio uplift at the Queen Mary University of London MSc Investment Fund by engineering ESG-integrated finance models for Tech and Healthcare equities. • Operational Efficiency: Optimized networking operations by deploying Power Automate workflows, reducing manual outreach time by 1,800%. • Global Experience: Previously managed £120M+ credit portfolios at PwC and drove financial forecasting for multi-market portfolios at Accenture. I hold an MSc in Banking and Finance (Distinction) from Queen Mary University of London, where I achieved a 4.0/4 GPA and specialized in Quantitative Methods, Practical Valuation, and M&A. My dissertation focused on Long-Memory Dynamics in FX Markets using ARFIMA and VECM models. Beyond the spreadsheets, I am a founder at heart, having launched EcoSneakers where I successfully negotiated with early-stage investors to secure funding. I am a native speaker of English and French, a Government of Mauritius Postgraduate Scholar, and a relentless trekker of London’s urban landscape. Technical Toolkit: Python (Option-based Valuation), VBA, SQL, R, Power BI, Bloomberg, and Capital IQ. I am always looking to connect with fellow finance professionals, technologists, and innovators. Feel free to reach out at [email protected].
• Spearhead equity analysis for Healthcare and AI Infrastructure opportunities from Seed to Series C, managing complex data rooms to drive high-conviction investment decisions. • Engineer advanced valuation frameworks, including NAV, DCF, and Option-based models, using Python to quantify equity value in volatile, high-growth private market scenarios. • Optimized networking operations by deploying Power Automate workflows, reducing manual outreach time by 1,800% and increasing high-value stakeholder engagement. • Leverage technical mastery of GPU/compute economics and data centre infrastructure to evaluate scalability and hardware-dependent risk in emerging AI healthcare start-ups. • Delivered data-backed IC memoranda and scenario analyses to streamline approvals for structured private market investments.
● Lead equity analysis for AI Infrastructure and Healthcare opportunities (Seed to Series C), managing complex data rooms to facilitate high-conviction deployment of private capital. ● Engineer sophisticated valuation frameworks (NAV, DCF, and Option-based models) using Python to quantify equity value and risk in volatile, high-growth private markets. ● Evaluate scalability and hardware-dependent risk in emerging AI startups, leveraging deep knowledge of GPU economics and data center infrastructure, key for SIG’s infrastructure fund clients. ● Deliver data-backed Investment Committee (IC) memoranda and scenario analyses to streamline approvals for structured private market investments. ● Deployed Power Automate workflows that reduced manual outreach time by 99%, significantly increasing high-value stakeholder engagement.
● Engineered ESG-integrated finance models for Tech and Healthcare equities, contributing to a 12% portfolio uplift. ● Selected as a judge for the Annual Investment Competition Committee following a 1st place win.
• Demonstrated analytical and technical skills, preparing reports for clients using Microsoft Office suite, Power Automate and PowerBI • Implemented a dashboard to easily follow-up on KPIs linked to the project for LVMH • Compiled data to prepare detailed reports on the progress of a project developing and testing investment banking applications for CACIB • Refined presentation skills while exposing project’s progress to Senior executives of CAC 40 corporations • Liaised with a team of 30 to compile detailed reports on the progress of a project for LVMH
● Developed automated VBA and Power BI dashboards to track KPIs and ESG metrics across multi-market portfolios, improving reporting efficiency by 30%. ● Directed financial forecasting and client billing processes, providing data-driven insights to optimize revenue cycles and fund performance.
• Performed corporate valuations using the DCF model, Comparative model and the NAV model to assist in mergers and acquisitions, and debt financing. Experience in LBO and M&A modelling • Developed strong financial statement analysis skills while valuing companies based in sub-Saharan Africa • Collaborated in teams ranging from 2-12 to deliver valuation and VDD reports to clients • Partook in the Edge Program in Spain, earning 2 awards including for the ESG Clean Feed Challenge