Physics Graduate turned Data Analyst with real banking-world experience. I bridge the gap between raw data and decisions through automation, predictive modeling, and evidence-based analysis.
I began my journey in Physics, building a rigorous foundation in mathematical modeling, hypothesis testing, and analytical thinking. That scientific mindset became my superpower when I transitioned into data analytics.
Today at Askari Bank, I engineer data pipelines, automate workflows, and translate fragmented datasets into compliance-ready reports — delivering real efficiency gains that matter.
I specialize in uncovering the why behind the data — whether that's customer churn, HR attrition, or network quality.
Physics-trained, hypothesis-driven approach to every analysis.
Real experience in compliance, audit readiness, and internal control.
30% efficiency gains through Python & Power Query pipelines.
Clean, explore, and prepare data using Python (Pandas, Polars) and Excel / Power Query. Build bi-weekly pipelines from raw sources to structured formats.
Build classification & regression models with XGBoost and Scikit-learn. Interpret with SHAP values for business-ready insights.
Automate repetitive reports and data pipelines with Python. Identify inconsistencies via text processing and regex for audit-ready quality.
Turn raw data into Power BI dashboards and Tableau stories that drive operational decisions and stakeholder buy-in.
Askari Bank Limited | Islamabad, Pakistan
Allied Schools | Rawalpindi, Pakistan
National Center of Physics | Islamabad, Pakistan
End-to-end churn model on a 7,000-row telecom dataset, achieving 0.65
PR-AUC. Used scale_pos_weight for class imbalance and SHAP values
to identify key churn drivers.
Power BI dashboard analyzing multi-market customer support call logs to find repeat-call causes and low FCR. Built with SQL, data modeling, and DAX.
Analyzed IBM HR dataset to identify high-risk departments and demographic attrition trends. Full stack: BigQuery, Excel, Tableau, R (ggplot2), and Power BI.
Open to Data Analyst opportunities. Let's talk about how I can add value to your team.
Whether you have a data challenge, a project to discuss, or just want to connect — I'm all ears.