Hirvi Kotadia

Detail-oriented and highly adaptable Data Analyst with an MSc in Computational Biology and extensive cross-industry experience spanning FMCG data operations and clinical healthcare analytics. Proven ability to manage, cleanse, and govern large-scale datasets while ensuring strict quality assurance and regulatory compliance. Adept at leveraging advanced analytical tools, including Power BI for dynamic data visualization and Microsoft Copilot 365 for automating complex workflows.

Seeking to apply a unique blend of computational research expertise, root-cause analysis, and enterprise AI utilization in a fast-paced corporate environment to drive data-informed decision-making.

Data Operational Analyst – Cross Coding & Reference Data at NielsenIQ (NIQ) (2025-02 – Present)

• Design, develop, and maintain interactive dashboards using Power BI to visualize operational metrics, translating complex, raw data into clear, actionable business insights for stakeholders.
• Integrate enterprise AI platforms, specifically Microsoft Copilot 365, to decode intricate product descriptions and automate the classification pipelines, significantly reducing manual intervention and increasing output speed.
• Perform comprehensive cross-coding of FMCG and retail products by accurately mapping items to global product hierarchies, categories, brands, and attributes in strict adherence to NIQ standard protocols.
• Govern and maintain high-quality reference data for the Canadian market to ensure robust foundational data for downstream analytics, insights generation, and executive reporting.
• Execute rigorous data validation, cleansing, and enrichment protocols to guarantee the consistency, accuracy, and completeness of millions of product records.
• Collaborate extensively with cross-functional teams to support seamless product onboarding, continuous system updates, and the implementation of ongoing data governance frameworks.
• Co-authored and successfully presented an extensive macroeconomic research presentation analyzing the complex impact of international conflicts and global oil crises on the Indian economy.

Medical Data Analyst at Exxat LLC (2024-03 – 2024-11)

• Analyzed massive volumes of structured and unstructured medical and non-medical records in strict alignment with organizational standards to identify operational trends, data inconsistencies, and missing information.
• Leveraged deep familiarity with complex immunization records and advanced medical terminologies to enhance data categorization and ensuring accurate medical profiling.
• Conducted rigorous quality assurance and auditing protocols, ensuring the accuracy, efficiency, and compliance of completely reviewed documents.
• Employed Advanced Excel (incorporating Pivot tables, nested Lookups, and data validation) to analyze, organize, and structure raw clinical data for internal review teams.

Trainee Lab Technician at Divine Pathology Labs (2023-12 – 2024-01)

• Operated within high-stakes laboratory environments across molecular biology, microbiology, biochemistry, and immunology departments.
• Applied precise scientific methodologies and maintained strict adherence to GLP (Good Laboratory Practice) guidelines for sample processing and diagnostic data recording.

Master of Science in Computational Biology – Institute of Advanced Research, Gandhinagar (2023)

Bachelor of Science in Biotechnology – GSFC University, Vadodara (2021)