
AADHITHYAN KATHIRAVAN
@aadhithyankathiravan
I turn operational data into reliable reports, automation, and actionable business insights.
What I'm looking for
At LTM Limited, I validate, process, and manage data across GCP-based workflows, resolving source discrepancies to keep downstream reporting reliable. I use SQL and Python to transform operational data into structured stakeholder outputs.
I've automated recurring data preparation and validation work with Python, while investigating reporting and data-quality issues alongside senior analysts. My approach emphasizes root-cause analysis, documented resolutions, and audit-ready deliverables.
At Tessolve Semiconductor, I analyzed manufacturing-equipment data and built Python-based predictive-maintenance models to identify equipment failure risk before unplanned downtime. I also delivered recurring performance summaries that supported faster maintenance decisions.
Across internships in analytics, project coordination, software validation, network systems, and product quality, I've translated raw data and requirements into reports, metrics, testing evidence, and process improvements. I'm pursuing an MBA in Business Analytics and have published two Springer research papers.
Experience
Work history, roles, and key accomplishments
Graduate Engineer Trainee
LTM Limited
May 2026 - Jun 2026 (1 month)
Owned data validation and processing across GCP-based workflows, ensuring accuracy and completeness of incoming datasets. Automated repetitive data preparation steps with Python scripts and supported root cause analysis on reporting and data-quality issues.
Education
Degrees, certifications, and relevant coursework
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Master of Business Administration, Business Analytics
Pursuing an MBA in Business Analytics.
SRM Institute of Science and Technology
Bachelor of Technology, Electronics and Communication Engineering
2021 - 2025
Grade: 8.6/10
Completed a Bachelor's degree in Electronics and Communication Engineering with a CGPA of 8.6/10.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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