Selected Work
Projects that
move the needle.
Every project starts with a system problem. Every solution is measured by commercial impact.
Factor-Neutral Pairs Trading Pipeline
A production-grade quantitative trading pipeline that screens the entire S&P 500 universe using DBSCAN unsupervised machine learning to identify fundamentally identical stock pairs. Each candidate pair is then subjected to Engle-Granger cointegration testing — a two-step econometric method that mathematically proves mean-reversion before any trade signal is generated. Out of 118,833 fundamental twin pairs tested, 28,429 passed the cointegration filter at a 90% confidence level.
Wall‑Et
AI-powered voice and photo-based budgeting tool that delivers predictive financial insights.
The Problem
Traditional budgeting tools introduce too much friction for young professionals and underserved users, leading to poor financial tracking and literacy.
The Solution
I built an AI-powered budgeting application designed to remove data-entry friction entirely. Through Wall‑Et, you can speak directly into the app to break down your expenses and plan your monthly budget. Whether you use voice commands or simply take a picture of a bill, the AI automatically sorts the data into different categories and assigns it.
The Execution
Leveraging third-party AI automation tools, LLM APIs, Lovable, and Supabase, I architected a workflow that transforms unstructured voice commands and photo inputs into structured, predictive financial insights.
System Shift Portfolio
AI-driven green investment diversification model for ESG-aligned portfolio optimization.
The Problem
Traditional green finance often focuses too narrowly on end-products. Green investments frequently fail because they only benefit the green companies themselves, making the broader stakeholder chain less stable.
The Solution
I developed System Shift Portfolio, an AI-driven financial portfolio application. The app gathers environmental data from European firms and allows you to swipe through them based on your personal preferences. Once completed, it shows you exactly which Earth System Boundary you are primarily targeting with your investment.
The Execution
SSP helps you determine how to allocate your funds across the entire stakeholder chain — from the suppliers who provide materials to the green companies, all the way to the customers who buy their products and services. The tool ensures everyone in the ecosystem remains aligned and financially stable, driving long-term environmental impact while effectively hedging financial risks.
Hyundai España AI Strategy
Finalist AI-led customer retention strategy with a projected +45% retention lift.
The Challenge
As part of a month-long Tech Venture Lab consulting project, my team was tasked with finding a technological solution to combat customer churn and increase retention, even after the four-year free service period had ended.
The Approach
We adopted a rapid prototyping methodology, pressure-testing our assumptions early and pivoting when initial data demanded it. I led the quantitative strategy, defining core business KPIs such as Customer Acquisition Cost (CAC) and Payback Periods to ensure the technical solution was commercially viable.
The Impact
We developed an AI-driven strategic solution aimed at increasing customer retention and loyalty by 45%. We were selected as finalists, and I co-presented the final implementation roadmap directly to the CTO and CEO of Hyundai España.
$3.5M Trade Line Launch
End-to-end execution of an international paper trade line across the SAARC region.
The Problem
I independently identified a critical upstream supply gap for Kraftliner paper in the SAARC region. Local manufacturers couldn't meet quality benchmarks, creating dependency on fragmented import channels.
The Solution
Recognizing this unmet need, I didn't just write a market report — I took action and leveraged a network of European paper mills to connect supply with South Asian demand. I independently managed the logistics and structured a cross-border trade line at FOUREM Global FZE.
Commercial Impact
$3.5 million in revenue generated through end-to-end execution of the international trade line across the SAARC region.
$100K Funding Study
Led a 500-person primary research initiative that secured pre-series investor funding.
The Problem
Data without a narrative is just noise. A sustainable footwear line lacked the market validation data required to attract pre-series investment. Investor confidence was low due to absence of quantitative demand evidence.
The Solution
At GSRV and Associates, I spearheaded a primary market study involving over 500 surveys to test the viability of the sustainable footwear line. By translating raw consumer preferences into a robust financial feasibility model, I built the data foundation for the investment case.
Commercial Impact
Successfully secured $100,000 in pre-series funding. The research became the foundation for the company's retail expansion strategy and subsequent fundraising rounds.