
Muaaz Tahir
Habilidades

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Experiência profissional
INTERNSHIP
Flyrank AI • Período integral
May 2026 - Aug 2026 • 3 mos
Built a content opportunity scoring system as part of a remote ML internship (Lane 2: Refresh/Content Opportunity Scoring). Worked with 18 monthly data files (~79M rows) via a Hugging Face-hosted warehouse, using DuckDB for large-scale querying. Designed a proxy label and evaluation metric (precision@k), built a baseline rule-based scorer, then trained a logistic regression model with a time-aware train/test split. Identified and fixed a data quality bug where a key feature was silently stored as an invalid type, and used a fairer evaluation subset to properly measure real model skill (AUC 0.782) after catching a flaw in the baseline's inflated precision.