Mohammed Zain Khan
Data Scientist with 4+ years of experience working with large datasets, building data pipelines, and delivering analytics solutions that support business decision making.
About
Data Scientist with 4+ years of experience working with large datasets, building data pipelines, and delivering analytics solutions that support business decision making. Experienced in designing ETL workflows, integrating multiple data sources, and developing dashboards for operational and strategic insights. Comfortable working with cross-functional teams across banking, technology, and consumer business.
- 5 years' experience
- Joined March 2026
Industry experience
- Financial Services
- Software & Internet
- Professional Services
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Work experience
Analyzed data from Risk, Credit, and HR systems to identify operational gaps and provide insights for internal stakeholders. Built end-to-end ETL pipelines integrating data across six vendor systems, improving data accuracy by 35% and reducing manual tasks. Implemented testing, automation, and version control to ensure reliable and scalable data pipelines and analytics solutions. Worked closely with vendors and internal teams to support the implementation of Risk and Credit technology solutions. Developed an internal RAG-based chatbot to help employees quickly access HR policies and documentation.
Analyzed customer data to support marketing campaigns and customer segmentation. Improved customer retention and engagement by 20% through data-driven marketing insights. Managed data architecture, cataloging, and deployment. Integrated FedEx and other logistics systems. Implemented ETL pipelines and designed KPI dashboards for operational monitoring.
Developed ETL REST APIs and automated cloud-based data architecture using AWS Lambda, S3, and serverless workflows. Built and maintained data extraction scripts using Python (Selenium, BeautifulSoup) to gather and transform product insights. Improved platform quality through systematic testing, debugging, and UAT, ensuring data consistency and system stability. Worked closely with vendors and internal teams to support the implementation of Risk and Credit technology solutions. Developed internal RAG-based chatbot to help employees quickly access HR policies and documentation.
Education
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