I am a Statistician and aspiring Data Analyst with a strong foundation in statistical methods, data analysis, machine learning, and research. I use Python, R, SPSS, Excel, and Power BI to clean, analyze, visualize, and communicate data insights.
I have academic experience applying statistical modeling and machine learning techniques to real-world datasets. My work includes regression analysis, hypothesis testing, ANOVA, probability distributions, descriptive and inferential statistics, feature selection, and model evaluation.
My bachelor's thesis focused on breast cancer classification using medical diagnostic data. I applied ANOVA, PCA, factor analysis, and Random Forest feature importance, then compared Logistic Regression, Decision Tree, Random Forest, SVM, and KNN models to achieve 98.2% accuracy.
I currently support survey-based research projects as a Management Trainee Officer and Research Executive at Gallup Pakistan. My responsibilities include data analysis, interview review, audio audits, quality control, data cleaning, verification, reporting, and field-team training.
I am motivated to use analytical thinking, problem solving, clear communication, and data storytelling to support evidence-based decisions. I am particularly interested in data analytics, business intelligence, machine learning, AI research, and statistical research roles.
