AI Automation & Agents
Workflows and AI agents that remove manual hand-offs — Python automation that already saves 10+ hours a week, growing into tool-using agents that research, draft, analyse and report on their own.
AI agentsLLM workflowsPython
Open to roles, commissions & collaborations
Uroosa Khan
AI & Data Engineer, Business Analyst, Journalist & Author
Roles includeAI Automation & Agents Builder
Uroosa Khan is an AI, data and automation engineer and business analyst who builds AI agents, machine-learning models and data pipelines. She is also a director at a global think tank, a columnist, journalist and researcher on geopolitics and technology policy, and the author of three books.
Eight roles, one analytical throughline.
The same habit runs through all of it: take something messy and complex, build a system to make sense of it, and communicate the result clearly.
AI Engineer
Machine-learning systems built to survive real decisions — regression, classification and rigorous evaluation in Python and scikit-learn, extended into LLM-powered applications.
scikit-learnLLM appsEvaluation
Data Engineer
Pipelines you can trust: SQL and PostgreSQL ETL across multiple databases, validated pandas cleaning, and scheduled flows from warehouse to dashboard.
SQLETLPostgreSQL
Business & Data Analyst
Power BI dashboards, KPI reporting and predictive analytics that turn raw data into business decisions — including automated KPI refreshes that cut reporting cycle time by 40%.
Power BIForecastingKPIs
Director, Global Think Tank
Director at Diamanium Thinkers, a global think tank — leading data-driven research initiatives and international publication pipelines; board member at PRCSSF.
LeadershipStrategyPolicy
Columnist & Journalist
Columns and reporting on geopolitics, economics, AI and policy for EUReflect, Stratheia, The Gulf Observer, The Europe Today and more.
100+
Author
Three books — The Last War: A History from Thucydides to AI, The Silent Cry of an Angel and God Waited Where I Left.
Explore the booksResearcher
Research on geopolitics, global security, AI and technology policy, climate governance and China studies.
Research areasFrom raw data to published insight.
How engineering and editorial work meet in practice.
1
Ingest
SQL and ETL pull messy, multi-source data into a clean, validated base.
2
Model
Python, scikit-learn and statistics turn it into forecasts, segments and signals.
3
Automate
Pipelines and agents take over the repeatable work — refreshes, reports, research sweeps.
4
Publish
Findings become executive dashboards and analysis for global readers.
100+articles published globally on business, economics & policy
40%cut in reporting cycle time through automated KPI refreshes
10+hours of manual work saved every week with Python automation
96%accuracy on a KNN breast-cancer prediction model
100k+row datasets cleaned and modelled for sales forecasting
3+years across analytics, machine learning and BI
Selected projects.
A selection of end-to-end projects. See all projects
AI & ML
Breast Cancer Prediction Model
Developed and evaluated ML models in Python and scikit-learn, reaching 96% accuracy with KNN on a clinical classification task.
ClassificationKNNscikit-learn
AutomationIn progress
SQL–Python–Power BI Automation Pipeline
End-to-end automated analytics workflow: SQL for extraction, Python for transformation and scheduled processing, Power BI for refreshed reporting — removing manual hand-offs between stages.
SQLPythonPower BIScheduling
Data engineering
Olist E-Commerce Analysis (Brazil)
End-to-end SQL analyst workflow on a 100k+ row transactional dataset — schema design, cleaning, KPI querying and storytelling — delivered as an interactive HTML dashboard and executive PDF report.
SQLPostgreSQL100k+ rows
BI & analytics
Power BI Executive Dashboards
Interactive dashboards and custom DAX measures — including delta and trend indicators — applying layout and storytelling best practice to KPI reporting for leadership.
Power BIDAXKPI design
Research that reaches policy.
Diamanium Thinkers
Founding member and Assistant Director, Research & Strategic Communications — leading data-driven research initiatives and managing international publication pipelines on geopolitics, security and global governance.
Research leadershipPublicationsStrategic comms
Pakistan Research Center for Shared Future
Board member of the Pakistan Research Center for Shared Future since 2025 — alongside independent research on climate governance and economic reform published via Academia.edu and Stratheia.
PRCSSFClimate governanceEconomic reform
Three books, from warfare to faith.
From The Last War: A History from Thucydides to AI to literary fiction and a reflection on forgiveness — long-form work beyond the byline.
Explore the books
Work with Uroosa on AI, data or research.
Available for AI & data engineering roles, automation and agent projects, research partnerships and commissioned writing on geopolitics and policy. Open to travel.