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Muaaz Tahir
@muhammadmuaaz92
Pakistán
Inglés, Urdu
Sobre mí
Final-year Software Engineering student in Pakistan, working with Python, pandas, and scikit-learn on real ML projects.
I recently completed an ML internship cleaning and processing production-scale data (~79M rows across 18 files) to build a scoring model, handling messy inputs, missing values, and data type issues. Currently in the NIAI-NAVTTC AI training cohort at NETSOL Technologies.
On Fiverr, I clean, structure, and prepare datasets ready for analysis or modeling, and build simple classification models when needed. Send your file or project details and I'll take it from there.
Habilidades
Muaaz Tahir
desconectado •
Tiempo medio de respuesta: 1 hora
Revisa mis servicios
Limpieza de datos
I will clean and preprocess your messy dataset using python and pandas
Experiencia laboral
INTERNSHIP
Flyrank AI • Tiempo completo
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.
