Llinvile De Jongh

Data Analyst with 3+ years of experience working with transactional and financial data in regulated environments at Sanlam, specialising in risk analytics, fraud detection, and business intelligence.

I use SQL, Power BI/Tableau, and Python to analyse large-scale datasets, uncover behavioural patterns, and translate findings into actionable insights that support risk monitoring, fraud detection, and operational decision-making. My project work spans fraud detection dashboards, credit risk modelling with LightGBM, customer churn prediction, and end-to-end analytics pipelines — all available on GitHub.

I don't just report what the data shows — I want to understand why patterns exist and what they mean for the business. I'm currently looking for opportunities in Data Analytics, Fraud Analysis, Risk Analysis, or Business Intelligence where I can bring that thinking to real problems.

Client Operations Analyst (Financial Transaction)

Sanlam · Full-time

Feb 2023 - Present

Official title: Client Care Representative (Intermediate)

Support data-driven decision-making by analysing customer, financial, and operational datasets within a regulated financial services environment.

• Analyse customer and portfolio-level data to identify behavioural patterns, trends, and performance drivers
• Monitor and evaluate key performance indicators (KPIs), supporting operational reporting and business insights
• Extract, validate, and reconcile data across multiple systems, ensuring high data accuracy (99–100%)
• Investigate discrepancies and perform root cause analysis to improve data integrity and reporting reliability
• Translate complex datasets into clear, actionable insights for operational and stakeholder decision-making
• Collaborate with cross-functional teams to improve data processes, reporting structures, and workflow efficiency
• Contributed to process improvements that reduced repeat operational queries by 12–18%, improving overall efficiency

Stellenbosch University

Data Science

Jan 2025 – Oct 2025

Activities and societies: • Collaborative coding and peer review sessions

• Group project participation (Python, ML, SQL)
• Weekly code challenges and data analysis tasks
• Portfolio development and GitHub version control
• Machine learning model development and evaluation
• Real-world case study analysis and presentations
• Data Science Career Prep Workshops

Intensive Data Science Bootcamp delivered in partnership with HyperionDev, covering Python, SQL, data cleaning, visualisation, machine learning, NLP, and real-world data pipelines. Completed end-to-end capstone projects mirroring industry scenarios.

Boland College

Associate's degree, Accounting and Business/Management

Jan 2020 – Jun 2024

• Financial Accounting • Computerised Financial Systems (Sage Pastel) • Business Communication • Entrepreneurship • Sales Management • Computer Practice