Asfand Khan

• Designed and analyzed A/B experiments on a buyer-supplier matching system, defining hypotheses, success metrics,
and evaluation windows, and reading results with attention to significance, variance, and trade-offs.
• Built a data-driven scoring model on key business metrics, translating experimental and observational evidence into
clear product recommendations for stakeholders.
• Delivered dashboards and decision-focused readouts that drove direction, not just reporting, for non-technical
audiences.

• Ran experiments and statistical analyses on noisy, incomplete real-world data to quantify opportunities and inform
business decisions.
• Selected appropriate metrics and analytical approaches, communicating uncertainty and limitations clearly to
non-technical stakeholders.
• Used AI-assisted tools to accelerate hypothesis testing, exploration, and narrative summaries while maintaining
statistical rigor.

• Built cloud data pipelines and ETL workflows on large-scale industrial (PV/energy) datasets, managing both structured
and unstructured data for downstream analysis.
• Automated data parsing, transformation, and storage, improving reliability of data feeding experimentation and
analytics.

Designed and executed detailed test cases for APIs, mobile, and web applications.
Performed manual testing to identify functional and UI issues.
Maintained bug tracking reports and coordinated with developers to ensure timely resolution.