Mansoor Bari

About Mansoor Bari

My professional journey is shaped by the combination of disciplined delivery and formal research in how complex systems behave. I am PMP-certified, hold an MSc in Computational Social Science, and am a PhD researcher focused on analytical system design, applied NLP, computational modeling, and applied API services. This foundation defines how I build: treating data, analytics, and decision logic as engineered systems rather than isolated tools. From this base, I operate across enterprise data management, data engineering, BI platform design, and analytical system development. I design and construct analytical environments where databases, semantic models, reliable pipelines, governance, and automation act as a unified infrastructure that supports real-world decisions and scalable outcomes.I have built and contributed to analytical platforms and intelligence components including smart data profilers, semantic BI layers, automated reconciliation logic, use-case recommendation engines, ROI estimation frameworks, contract and workflow intelligence, lifecycle assessments, and NLP-enhanced analytical modules and fine-tuning apps, that empower decision support rather than static reporting. These systems are designed to meet enterprise expectations for reliability, governance, and adaptability.In my current role at Giesecke+Devrient, I apply this engineering approach within SAP-integrated landscapes, designing and operating analytical platforms that support financial, operational, and executive use cases. I’ve led platform evolution initiatives such as the transition from Qlik to Power BI and vice-versus, rebuilding underlying models and semantics to strengthen control, performance, and scalability across domains including finance, inventory, production, and sales.Thank You,

Experience

1. Data Management Analyst

   Giesecke+Devrient

   Dec 2022 — Present · Dulles, VA, US

   Own and evolve enterprise data and analytics platforms that support operational, analytical, and decision-intelligence use cases. Design and maintain core data architecture, production ELT/ETL pipelines, analytical and semantic data models, Applied API Services, and BI layers across large, SAP-integrated environments.Engineer analytics-ready data foundations used for reporting, forecasting, planning, and applied modeling across finance, supply chain, inventory, production, sales, and performance domains. Build governed, reusable analytical assets that enable reliable metrics, automation, and downstream ML- and NLP-enabled use cases.Lead platform and capability modernization initiatives, including BI ecosystem migration (Qlik & Power BI), semantic model redesign, pipeline automation, CI/CD enablement, performance optimization, and data quality frameworks. Ensure analytical systems are scalable, auditable, and adaptable as business logic and data sources evolve.Partner cross-functionally with data, finance, operations, IT, and leadership teams to translate complex transactional and unstructured data into decision-ready analytical products—supporting analytics, data science, and intelligent automation rather than one-off reporting

Education

• George Mason University

  Doctor of Philosophy - PhD, Computational Social Science

• George Mason University

  Master of Interdisciplinary Studies, Computational Social Science

  2020 — 2022

• George Mason University

  Master's degree, Computational Science