About Uroosa Khan
Journalist, columnist, researcher and research analyst specializing in global affairs, security, and geopolitical strategy.
Professional summary
Uroosa Khan is a Data & Business Analyst with 3+ years of experience across analytics, machine learning, and business intelligence, combining SQL, Python, and Power BI with business requirements gathering, stakeholder engagement, and process improvement. She is skilled in building end-to-end machine learning workflows — regression, classification, model evaluation — and translating complex analytical findings into business reports for non-technical audiences.
She has a track record of cutting reporting cycle time by 40% and automating recurring analysis to save 10+ hours per week. She holds a BBA from SZABIST, one of Pakistan's leading business schools, alongside a prior BSc — an interdisciplinary background spanning analytics, research, and strategic communications.
Career & professional journey
Khan is currently Business & Data Analyst at Enablers Pvt. Ltd. (2022–2025), where she built Power BI dashboards for senior management, wrote SQL for ETL across multiple databases, and used Python to model 100k+ row datasets for sales forecasting. She previously interned as a Data Analyst at the National Bank of Pakistan (NBP), supporting financial reporting and stakeholder dashboards.
In parallel, she is a founding member and Assistant Director, Research & Strategic Communications at Diamanium Thinkers, a global think tank, where she leads data-driven research initiatives and manages international publication pipelines. She began her media career as a Research Associate & Journalist at Eureflect, a European media house, synthesizing economic and policy data into published analysis for international outlets.
Areas of expertise & research interests
Her interests span machine learning, artificial intelligence, business intelligence, data science, predictive analytics, digital transformation and decision intelligence — alongside geopolitics, foreign policy, and international relations. She has 100+ published articles globally on business, economics and policy, including in Stratheia Global Policy Journal, Pakistan Observer, EUReflect, The Spine Times, The Gulf Observer and The Europe Today.
Data analytics & ML background
Her technical toolkit includes Python (Pandas, NumPy, Scikit-learn), SQL and PostgreSQL, Power BI and DAX, and end-to-end ETL and workflow automation. She has built machine learning projects spanning regression, classification and predictive analytics — including a breast cancer prediction model reaching 96% accuracy with KNN — and delivered executive-facing dashboards and reports.
Awards & recognition
She is a recipient of the National Prime Minister Award for academic and leadership excellence, and serves as a Board Member of the Pakistan Research Center for Shared Future (PRCSSF) since 2025.