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Data Analyst with 3+ years in operations, reporting, and data analysis.
Detail-oriented professional with 4 years of experience in Airline operations, Seeking opportunities in reporting, and data-driven decision support. Skilled in Microsoft Excel, SQL fundamentals, and KPI/performance tracking, with a consistent record of maintaining 100% data accuracy and compliance across high-volume operations. Completed SQL Foundations (Microsoft/Coursera) and AI Essentials & Prompt Engineering for Productivity (Google/Coursera); currently building foundational data analytics skills including data visualization. Eager to apply strong analytical thinking, attention to detail, and stakeholder communication to a Data Analyst role.
VELS University
Bachelor of Science (B.Sc) · Aviation
August 1, 2021 – June 30, 2024
IndiGo Airlines
Senior Executive Operations(Supervisor) – AO & CS
January 1, 2025 – October 1, 2025
Chennai, Tamil Nadu, India
IndiGo Airlines
Executive Operations – AO & CS
December 1, 2021 – December 1, 2024
Chennai, Tamil Nadu, India
SQL Foundations
Microsoft / Coursera
June 1, 2026 – Present
AI Essentials & Prompt Engineering for Productivity
Google / Coursera
June 1, 2026 – Present
Social Media Marketing & Advertising
Meta / Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in aviation operations, while not directly in a data-centric industry, shows adaptability and a structured approach to data handling. Their pursuit of certifications in SQL and AI Essentials indicates a proactive learning mindset and a clear intent to transition into a data analyst role. The experience with diverse international passenger data suggests an ability to work with varied datasets and stakeholders. The lack of diverse project experience outside of operational roles might require some adjustment to a purely analytical environment.
Soft Skills & Operational Fit
The candidate demonstrates strong attention to detail, problem-solving abilities, and stakeholder communication skills from their operational roles. Their experience in monitoring service-level data, identifying process gaps, and supporting decision-making aligns well with the analytical and operational demands of a Data Analyst. The ability to maintain 100% data accuracy in a high-volume environment indicates a meticulous and reliable work attitude.