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Nonye Ekwe

@nonyeekwe

Financial analyst and certified data scientist focused on valuation, modeling, and predictive machine learning.

Nigeria
Message

What I'm looking for

I’m looking for a role where I can combine institutional financial modeling with predictive machine learning—automating data pipelines and delivering actionable valuation and insight workflows that are fast, consistent, and decision-ready for strategic leaders.

I’m a certified data scientist and financial analyst who builds institutional-grade financial models—3-statement, DCF, LBO, and M&A—to support investment and strategic decision-making. I automate data workflows and generate fully linked, decision-ready models with minimal manual intervention to improve both speed and consistency.

In my roles, I’ve engineered AI-driven agents and automated systems to accelerate high-quality corporate finance analysis, enhance data storytelling accuracy, and boost efficiency in data collection and analysis. I’ve also applied advanced statistical techniques for market trend analysis and M&A due diligence, including work tied to a successful merger that boosted revenue by 25%.

Experience

Work history, roles, and key accomplishments

CC
Current

Head of Data

Corporate Finance Institute (CFI)

Aug 2023 - Present (2 years 11 months)

Engineered an AI agent that automates insights from complex corporate finance data, accelerating high-quality analysis production.

SG

Senior Financial Analyst

Sujimoto Group

Oct 2022 - Jul 2023 (9 months)

Applied advanced statistical techniques to analyze market trends and perform due diligence for M&A activities, contributing to a successful merger that boosted revenue by 25%.

Education

Degrees, certifications, and relevant coursework

MU

Miva University

Bachelor of Science, Data Science

Completed a B.Sc in Data Science at Miva University. Focused on foundational data science concepts relevant to applied analytics.

UB

University of Benin

Bachelor of Science, Economics and Statistics

Completed a B.Sc in Economics and Statistics at the University of Benin. Built knowledge in economic analysis and statistical methods.

Tech stack

Software and tools used professionally

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