I’m someone who learned early that numbers don’t fail—processes do. My work has lived close to real decisions. At Allianz Life Indonesia, I handle high-volume, high-stakes financial data where errors have consequences, not just corrections. I reconcile inconsistencies, trace anomalies back to their source, and make sure what reaches stakeholders is something they can rely on. Accuracy isn’t a preference in my work; it’s a baseline. Before that, I led data functions in student and non-profit organizations, building structure where none existed—cleaning pipelines, defining metrics, and turning scattered inputs into information leaders could actually use. That experience taught me how data behaves outside textbooks: messy, political, and valuable only when translated clearly. Academically, I trained in Data Science and Business Analytics and graduated with First Class Honours, but what differentiates me isn’t the tools I use—it’s how I think. I question assumptions, sanity-check results, and focus on outputs that stand on their own, whether that’s a model, a dashboard, or a written recommendation. I stand out because I don’t chase sophistication for its own sake. I care about clarity, trust, and impact—and I’m comfortable taking ownership when the work is ambiguous and the standard is high.

Lorencia Lo

I’m someone who learned early that numbers don’t fail—processes do. My work has lived close to real decisions. At Allianz Life Indonesia, I handle high-volume, high-stakes financial data where errors have consequences, not just corrections. I reconcile inconsistencies, trace anomalies back to their source, and make sure what reaches stakeholders is something they can rely on. Accuracy isn’t a preference in my work; it’s a baseline. Before that, I led data functions in student and non-profit organizations, building structure where none existed—cleaning pipelines, defining metrics, and turning scattered inputs into information leaders could actually use. That experience taught me how data behaves outside textbooks: messy, political, and valuable only when translated clearly. Academically, I trained in Data Science and Business Analytics and graduated with First Class Honours, but what differentiates me isn’t the tools I use—it’s how I think. I question assumptions, sanity-check results, and focus on outputs that stand on their own, whether that’s a model, a dashboard, or a written recommendation. I stand out because I don’t chase sophistication for its own sake. I care about clarity, trust, and impact—and I’m comfortable taking ownership when the work is ambiguous and the standard is high.

Available to hire

I’m someone who learned early that numbers don’t fail—processes do.

My work has lived close to real decisions. At Allianz Life Indonesia, I handle high-volume, high-stakes financial data where errors have consequences, not just corrections. I reconcile inconsistencies, trace anomalies back to their source, and make sure what reaches stakeholders is something they can rely on. Accuracy isn’t a preference in my work; it’s a baseline.

Before that, I led data functions in student and non-profit organizations, building structure where none existed—cleaning pipelines, defining metrics, and turning scattered inputs into information leaders could actually use. That experience taught me how data behaves outside textbooks: messy, political, and valuable only when translated clearly.

Academically, I trained in Data Science and Business Analytics and graduated with First Class Honours, but what differentiates me isn’t the tools I use—it’s how I think. I question assumptions, sanity-check results, and focus on outputs that stand on their own, whether that’s a model, a dashboard, or a written recommendation.

I stand out because I don’t chase sophistication for its own sake. I care about clarity, trust, and impact—and I’m comfortable taking ownership when the work is ambiguous and the standard is high.

See more

Language

English
Fluent

Work Experience

AFM Reporting Intern at Allianz Life Indonesia
August 1, 2025 - Present
Conduct financial data validation, reconciliation, and analysis to ensure accuracy across premium and financial records. Supported preparation of management reports, contributing to data accuracy for thousands of policy transactions monthly. Enhanced reporting efficiency by optimizing Excel-based data processing and verification tools. Collaborated with cross-functional teams to investigate discrepancies and deliver data-driven insights.
Finance Data Intern at PT. Wira Taruna Lestari
June 1, 2024 - August 31, 2024
Streamlined financial data management by accurately inputting income and expense records. Ensured financial data integrity by reconciling and balancing income and expenditure accounts. Contributed to financial reporting by maintaining accurate, up-to-date records and supporting the preparation of detailed financial statements.

Education

Bachelor of Science (Data Science and Business Analytics) at University of London, Singapore Institute of Management
September 1, 2022 - August 31, 2025

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Agriculture & Mining, Non-Profit Organization