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Lonzozou Katchoou

@lonzozoukatchoou

Applied Statistician and Financial Data Analyst turning risk and data into actionable insights.

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What I'm looking for

I’m looking for a role where I can apply statistical analysis and machine learning to financial risk, build dashboards and reports, and turn complex data into decisions.

I’m an Applied Statistician specialized in financial statistics, risk management, and data analytics, with experience supporting decision-making through economic analysis, statistical research, and predictive modeling. I’ve worked in the Research & Statistics Department at the Central Bank of West African States (BCEAO) and as an RBT Operations Intern at Huawei, focusing on analysis, validation, and reporting of data that matters.

I’m passionate about transforming complex data into actionable business insights. I use Python, SQL, R, and Power BI—along with machine learning techniques—to deliver performance reporting, KPI monitoring, data quality control, and research-driven analytical outputs.

Experience

Work history, roles, and key accomplishments

Central Bank of West African States (BCEAO) logoCB

Research & Statistics Department Intern

Central Bank of West African States (BCEAO)

Jun 2025 - Dec 2025 (6 months)

Contributed to the preparation and validation of economic and financial reports and macroeconomic briefs. Performed data quality control and statistical analysis on migrant remittance and rapid transfer datasets, and produced analytical reports for surveys and research on sovereign exposure impacts on lending capacity.

Education

Degrees, certifications, and relevant coursework

Zhejiang University of Science and Technology logoZT

Zhejiang University of Science and Technology

Master of Applied Statistics, Applied Statistics

2023 - 2026

Master of Applied Statistics program focused on applied statistical methods and analytics.

UK

University of Kara

Bachelor of Mathematical Statistics, Mathematical Statistics

2018 - 2021

Bachelor’s degree in Mathematical Statistics focused on statistical theory and quantitative analysis.

Tech stack

Software and tools used professionally

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