Chinonso Anyanwu

Conduct one on one interviews with China’s top economists on state orchestrated startups and economic development
Empirical analysis on the role of artificial intelligence in China’s industrial ecosystem through comparative political economy

Led product development, strategic finance and fundraising, securing non-dilutive capital through investors and venture grants
Ideated evidence-based roadmaps integrating vetted resources and proprietary growth philosophy to drive development

Conducted market research and competitive analysis in the renewable energy sector, identifying investment opportunities
Synthesized findings into five investor memos and presentations, enhancing clarity in strategic decision-making and evaluation
Developed DCF models and comparable company analyses to evaluate potential returns across various investment opportunities

Conducted GTM, due diligence, and integration analysis for a $70M SaaS acquisition, developing insights adopted by leadership
Supported underwriting for a F100 global company, evaluating risk exposures and verifying accuracy across 71% of operations
Produced internal research on GenAI, identifying strategies to streamline cash handoffs globally and reduce collection times

Automated regression-based impact analyses, increasing program reporting accuracy by 25% for client stakeholders
Designed three data-driven growth models for workforce programs reaching participants and improving resource allocation
Streamlined program evaluation processes, boosting decision-making speed and data accuracy across client initiatives

Created three weekly cash forecasts and portfolio reconciliation models, delivering key insights into fund performance
Performed options pricing and yield curve analysis using Bloomberg Terminal, detecting anomalies in collateral positions
Assisted in evaluating distressed and special situation investments, analyzing potential upside in private and illiquid assets

Produced a research paper on the future of labor in the age of artificial intelligence under Professor Julia Schwenkenberg
Applied regression analysis and time-series forecasting to assess the relationship between monetary policy, inflation, and labor
Supported quantitative research on global capital flows, analyzing international market activity with a focus on U.S. policies