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Jaimin Bhatt

Jaimin Bhatt

AI ENGINEER

Talent
TorontoMember since July 26, 2026
FAISSLLMsRAGSemantic SearchScikit-learnLangChainOpenAI APIPythonSQLStreamlitData ValidationPandasNumPyMatplotlibActive Directory
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FAISSLLMsRAGSemantic SearchScikit-learn

About

Supported daily administrative operations in a high-volume logistics environment, processing 150+ shipments and administrative transactions per shift. Maintained and updated 500+ records weekly with 99% data accuracy, ensuring compliance with company documentation standards. Developed and automated Excel-based reports using advanced formulas, pivot tables, and data validation, reducing report preparation time by 40%.

Experience

Administrative Assistant at FedEx (2025-07 – Present)

  • Supported daily administrative operations in a high-volume logistics environment, processing 150+ shipments and administrative transactions per shift.
  • Maintained and updated 500+ records weekly with 99% data accuracy, ensuring compliance with company documentation standards.
  • Developed and automated Excel-based reports using advanced formulas, pivot tables, and data validation, reducing report preparation time by 40%.
  • Collaborated with 5+ cross-functional teams to resolve operational issues, contributing to a 20% improvement in on-time process execution.
  • Analyzed operational workflows and implemented process improvements, reducing data-entry errors by 25% and improving administrative efficiency by 15%.

IT Help Desk Internship at Algoma University (2024-05 – 2024-12)

  • Provided first-line IT support to 200+ students and staff.
  • Resolved hardware, software, and network issues while meeting SLA targets.
  • Created and maintained 25+ knowledge-base articles and technical documentation.
  • Performed user account provisioning, password resets, and access management.
  • Utilized Active Directory, Microsoft 365, and ticketing systems to manage support requests.

Software Engineer Intern at EnactOn Technologies (2022-03 – 2023-09)

  • Developed and maintained automated Python scripts to extract, transform, and validate operational data from enterprise systems, reducing manual processing time by 30%.
  • Designed and executed complex SQL queries to identify data discrepancies and logic gaps, enhancing the accuracy of recurring business reports by 25%.
  • Collaborated with cross-functional stakeholders to gather requirements and translate business needs into scalable technical workflows.
  • Deployed automated reporting pipelines, delivering real-time insights to operations teams and ensuring 99% uptime for recurring data processes.

Education

Bachelors in Computer Science – Algoma University (2023-09 – 2026-04)

Skills

AI ENGINEER

Reviews

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