Transforming raw financial data into strategic roadmaps. I specialize in quantitative modeling and post-merger integration to engineer sustainable scaling for modern enterprises.
A multidimensional approach to financial engineering and data science.
A history of engineering fiscal efficiency and driving exponential growth.
Translating complex economic theories into tangible digital and strategic assets.
Engineered a real-time visualization interface mapping high-frequency trading anomalies, enabling traders to react to micro-market shifts 4x faster.
Developed a unified data model to track and enforce $15M in projected operational synergies during the complex acquisition of a rival SaaS firm.
Created a proprietary machine-learning algorithm that scrapes public sustainability reports to assign real-time ESG risk scores to potential portfolio additions.
Built a predictive cohort analysis tool identifying leading indicators of customer churn, allowing proactive interventions that saved $2M in ARR.
CFA Institute
Passed all three levels consecutively. Focused on advanced investment analysis and portfolio management.
Wharton School of Business
Graduated Magna Cum Laude. Capstone project on algorithmic disruption in emerging markets.
Corporate Finance Institute (CFI)
Certified FMVA. Mastery of building 3-statement models, DCF, and LBO from scratch.
"Eleanor has a rare gift for translating abstract, messy data into crystal-clear executive strategy. Her forecasting models were instrumental in our Series C success."
"Working with Eleanor at Vertex was a masterclass in due diligence. She spots risks that others miss and engineers deal structures that consistently protect downside."
"Her ability to bridge the gap between heavy technical coding (Python/SQL) and high-level corporate finance is unmatched. A true unicorn in the quant space."
Open to executive roles, freelance consulting, and high-impact board advisory positions.