
Rafia Zafar
@rafiazafar
I turn complex datasets into actionable insights using statistics, Python, R, and machine learning.
What I'm looking for
I'm focused on turning complex datasets into meaningful insights through statistical modeling, feature engineering, visualization, and machine learning.
For my MPhil thesis at the University of Agriculture, Faisalabad, I built a Transformer-based sequential recommendation system using Bayesian inference. I integrated user demographics, movie metadata, and time-dependent behavior, then visualized uncertainty with PCA, ROC curves, and calibration plots.
I work with Python, R, Pandas, NumPy, Scikit-learn, TensorFlow, tidyverse, and ggplot2, supported by a strong foundation in statistics, time series, multivariate analysis, and experimental design.
I'm motivated by continuous learning and applying data science to real-world problems, while bringing critical thinking, collaboration, and a research-oriented mindset to my work.
Experience
Work history, roles, and key accomplishments
Data Analyst
NAVTTC
Completed a certification in Data Analysis using Python, gaining hands-on experience in data manipulation, visualization, and statistical analysis.
Education
Degrees, certifications, and relevant coursework
University of Agriculture, Faisalabad
Master of Philosophy, Statistics
Grade: CGPA: 3.96/4.00
Pursued a Master of Philosophy in Statistics with a thesis on Bayesian deep learning for sequential recommendation systems.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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