Presentation
turning multi-source datasets into predictive models and stakeholder-ready insights using Python, SQL, XGBoost, and SHAP.
Comfortable owning technical issues end-to-end, working to strict accuracy and documentation standards, and translating analytical
findings for non-technical audiences. Seeking to apply a detail-driven, ownership-focused approach to a Data Analytics role.
Background
cases to senior developers with clear, structured write-ups.
● Supported testing and debugging of application features, reproducing defects methodically to help identify root causes.
● Maintained accurate records of changes and configuration states, and produced step-by-step technical guides for internal
reference.
● Liaised across teams to gather the technical information needed for issue resolution, mirroring the L1 support escalation
