Gagan Deep Kaur

Quality Assurance Team Lead / Adjunct Professor , IT / Education

Mississauga, Canada

PhD-trained researcher and systems analyst with 10+ years of experience in empirical evidence synthesis and data quality governance. Expert at identifying systematic patterns in complex, low-data environments and resolving inconsistencies across decentralized sources. Proven track record in translating field-level logics into rigorous, evidence-driven frameworks for policy and industrial strategy

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Area of Expertise:
  • Administration, Management, Finance/Accounting, Procurement
  • Capacity Building, Training, Advocacy
  • Monitoring, Evaluation, Policy, Research, Analysis
  • Social, Education, Gender, Youth, Child
Professional Experience:

My professional experience is defined by over a decade of high-level research, systems auditing, and data quality governance across academic and industrial sectors. I specialize in the deconstruction of complex, decentralized workflows to identify cognitive bottlenecks and implement rigorous, evidence-driven frameworks. My career has moved consistently between the meticulous field documentation of industrial clusters and the high-level governance of large-scale data operations, always with a focus on translating "situated" practice into measurable strategic insights.

Currently, as a Senior Quality Lead at LXT, I oversee the integrity of large-scale human-behavioral datasets. My work here is centered on resolving systematic discrepancies through Expert Triangulation and the design of 3-tier validation frameworks. I successfully engineered a reconciliation methodology for complex 3-way data projects that increased accuracy rates from an initial 35% to a threshold of 93%. By establishing a structured Dispute Redressal System, I institutionalized transparency within the QA process, ensuring that technical assessments are verifiable and that contributors have a structured mechanism for professional accountability.

In the research domain, I serve as an Adjunct Professor at OCAD University at Laurentian University which requires a sophisticated approach to data integrity and the standardization of documentation protocols to ensure long-term utility for global stakeholders. My tenure as a researcher at the National Institute of Advanced Studies and the Homi Bhabha Centre for Science Education involved longitudinal fieldwork in resource-constrained environments, such as the artisanal clusters of Kashmir.

A cornerstone of my professional utility is the ability to achieve Knowledge Translation taking deep, field-level observations and turning them into operational improvements. In my study of MSME production systems, I deconstructed cryptic notation codes into structured data, identifying specific process inefficiencies that, once addressed, reduced repair costs and production waste by 10%. This ability to audit a system from the ground up has been validated by nine single-author publications in high-impact international journals, including Elsevier and Springer.

Ultimately, my experience bridges the gap between armchair analyst and the field-based practitioner. Whether I am drafting Root Cause Analysis reports for operational stakeholders or managing the peer-review protocols for a 12-language validation project, my focus remains on evidence-grounded rigor. I bring a unique capability to identify the limits of a system’s design and the reality of its function, ensuring that policy and strategy are informed by how people and systems actually operate in practice.

Education:

My educational trajectory is anchored in a rigorous progression from quantitative economics to analytical philosophy, culminating in a Doctorate from the Indian Institute of Technology (IIT) Bombay. This interdisciplinary foundation has shaped my expertise in situated cognition, specifically studying how human intelligence is embedded within complex industrial workflows and material cultures.

At the doctoral level at IIT Bombay, I investigated the "Talim" notation system in Kashmiri carpet weaving, treating it as a sophisticated information-encoding protocol. My research moved beyond traditional craft documentation to model the cognitive architecture of weavers managing high informational loads. This work successfully deconstructed a decentralized, traditional system into a structured data format, revealing cognitive efficiencies that inform modern industrial strategy and design.

Prior to my doctoral research, I earned a Master of Arts in Philosophy from Panjab University, where I was awarded the University Gold Medal for ranking first in my cohort. This period focused intensely on formal logic, epistemology, and the structural analysis of knowledge systems. It provided the analytical rigor required to synthesize diverse theoretical frameworks into concise, evidence-based arguments, a skill I now apply to data quality governance and systems auditing.

My undergraduate education in Economics and Philosophy at Panjab University established the dual-lens approach I maintain today. By combining the data-driven methodology of economics with the critical systems-thinking of philosophy, I built a foundation for handling both large-scale quantitative datasets and nuanced qualitative narratives. This background is essential for my current work in auditing decentralized production systems and navigating resource-constrained environments.

Since completing my formal degrees, I have expanded my academic profile through postdoctoral appointments at the National Institute of Advanced Studies and the Homi Bhabha Centre for Science Education. These roles involved designing multi-year field protocols and managing expansive digital repositories. My pedagogical leadership continues as an Adjunct Professor at OCAD University at present.

Available for:

  • Consulting assignments
  • Job opportunities
  • Being headhunted – make me an offer

Years of Experience:

10-15 years

Highest Qualification:

Doctorate

Languages:

English

Nationality:

Canada

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