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Senior Analyst with 3+ years in Business Intelligence & Quantitative Methods
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Highly analytical and results-driven professional with 3.7 years of experience in data analysis, business intelligence, and growth strategies. Proven ability to leverage quantitative methods, programming (Python, R), and data visualization (Power BI, Tableau) to drive significant revenue and user growth. Currently pursuing a Master's in International Economics with a specialization in Quantitative Methods, seeking to apply advanced analytical skills in a dynamic data-driven environment.
University of Göttingen
Master of Science · International Economics (Specialization: Quantitative Methods of Economic Analysis)
October 1, 2025 – Present
National University of Sciences and Technology
Bachelor of Science · Economics
September 1, 2018 – June 1, 2022
Telenor Pakistan
Assistant Manager CVM & Analytics
March 1, 2024 – October 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
GoZayaan Pakistan
Growth Analyst
November 1, 2022 – March 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
Dynamic Pricing Engine
December 1, 2025 – December 1, 2025
Engineered a white-box pricing algorithm using manual Maximum Likelihood Estimation (MLE) and Numerical Optimization in R, bypassing standard regression libraries. Corrected for Omitted Variable Bias by modeling competitor cross-elasticity, validating results using the Fisher Information Matrix for statistical rigor. Derived the Optimal Markup Rule via calculus to identify a 40% pricing inefficiency, projecting an 81% profit uplift through algorithmic margin expansion.
Statistical Analysis & Algorithm Design (R)
December 1, 2025 – December 1, 2025
Analyzed German economic data (1950-2019) to estimate Cobb-Douglas parameters, identifying returns to scale and elasticity. Hand-coded estimators for OLS, GLS, and Nonlinear Least Squares using raw matrix algebra to replicate R package outputs. Detected and corrected for serial correlation using manual Generalized Least Squares (GLS) estimation.
Supervised Machine Learning: Regression and Classification
DeepLearning.AI
April 1, 2023 – Present
CS50: Introduction to Computer Science
Harvard
October 1, 2022 – Present
Python Bootcamp for Data Science 2021 Numpy, Pandas, Matplotlib & Seaborn
Udemy
July 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic background in International Economics with a specialization in Quantitative Methods, combined with practical experience in analytics roles, suggests a strong fit for data-driven and analytical cultures. Their project diversity, ranging from economic modeling to dynamic pricing and CVM, indicates adaptability and a broad interest in applying analytical skills across different domains. The pursuit of a Master's degree while working shows dedication and a growth mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities and a results-oriented approach, evidenced by their project outcomes (e.g., 81% profit uplift projection, PKR 211M loan repayments). Their experience in designing and rolling out CVM offers suggests good operational planning and execution skills. The academic background in quantitative methods indicates a structured and logical thinking process.