Afriqil Wildan

I’m a Data Analyst with a Bachelor of Law background, bringing strong attention to evidence, data validation, structured reporting, and analytical reasoning. I translate raw data into actionable insights through cleaning, exploratory analysis, statistical testing, and dashboard storytelling. I’ve worked across global-scale datasets, including 11.1M+ Airbnb records, 80,000 Apple product price observations, and 18,085 Dubai residential property transactions.

In my current role, I validate an average of 5–7 legal documents per day by reviewing complainant identities, case chronologies, legal bases, and document completeness before internal assessment. I classify and standardize case and validation details in an Excel-based tracking system, then produce validation reports and stakeholder-facing summaries to support management and cross-department decisions.

In my projects, I build reliable data models and clear BI outputs—addressing missing values, inconsistent formats, and snapshot mismatches through auditing, chunk-based processing, and feature engineering. I’m especially comfortable delivering end-to-end analytics with transparent data-quality flagging and documentation, and I’m open to remote and international opportunities.