Open to opportunities

Olga N

@olgan

Message

Data analyst specializing in fraud detection and transaction monitoring for payments and financial services.

Kenya

Message

What I'm looking for

I seek a role where I can lead fraud detection and transaction monitoring initiatives, collaborate cross-functionally, apply ML/BI tools, and drive measurable reductions in fraud while improving operational efficiency.

I am a data analyst focused on fraud risk detection and merchant misuse prevention within payments and financial services, skilled in SQL, Python, Pandas, NumPy and Power BI. I build transaction monitoring dashboards, design detection controls and develop fraud typologies that reduced fraud exposure by 15% and cut investigation time by 15–30% while improving operational efficiency.

I collaborate across product, tech and risk teams to implement real-time anomaly detection, streamline reporting and scale digitization pilots across branches. I have driven customer retention and revenue outcomes through KPI-driven dashboards, ML model validation, data-cleaning automation and training programs that increased data accuracy and decision-making speed across regional operations.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst - Fraud

Current

I&M Bank

Apr 2024 - Present (1 year 7 months)

Led fraud risk detection and transaction monitoring efforts, developing dashboards and typologies that reduced fraud exposure by 15% and cut investigation time by 30%, while improving KPI reporting and data accuracy.

SQL Python Power BI Transaction Monitoring Fraud Typologies Data Cleaning ETL KPI Design

Current

Data Science Collaborator

Current

Omdena

Jun 2021 - Present (4 years 5 months)

Led a multicultural team building ML models for geospatial-temporal flood impact prediction and improved credit scoring accuracy from 50% to 95% using ensemble methods.

Machine Learning Python Geospatial analysis Team Leadership & Model Tuning Streamlit

Management Trainee - Fraud Data Analyst

I&M Bank

Nov 2022 - Mar 2024 (1 year 4 months)

Supported implementation of AI automation and developed Power BI dashboards and validation processes that improved donor engagement by 30% and reduced handling time by 35%.

Power BI Data Strategy Dashboarding WhatsApp Automation Data Visualization Stakeholder Engagement

NLP Data Labeler

Independent Contractor

Nov 2018 - Jun 2021 (2 years 7 months)

Conducted high-accuracy NLP data labeling and QA for AI training pipelines, implementing semi-automated Python cleaning scripts that improved annotation accuracy by 15%.

Python Data Cleaning Quality Assurance

Education

Degrees, certifications, and relevant coursework

WorldQuant University

Data Science

2021 -

Enrolled in a Data Science program at WorldQuant University starting September 2021, focusing on practical machine learning and quantitative analysis.