Help & Supportcareers@gravityer.com
Data Analyst with 3+ years in Medical/Automotive; aspiring Data Analyst.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BE Mechanical Engineer with 4 years of hands-on experience in Windchill PDMLink and SAP ERP at HCL Technologies (Client: Johnson & Johnson), managing end-to-end Change Requests, Change Notices, BOM, WTParts, and Lifecycle Workflows in regulated medical and automotive environments. Currently upskilling in Data Analytics (SQL, Power BI, Python, Snowflake) to transition into a Manufacturing Data Analyst role. Unique combination of PLM domain expertise, ERP-PLM integration experience, and Six Sigma Green Belt certification — targeting data-driven roles in automotive, aerospace, or MNC manufacturing environments.
Rajalakshmi Institute of Technology, Chennai
Bachelor of Engineering · Mechanical Engineering
August 1, 2018 – June 30, 2022
HCL Technologies
PLM Change Analyst — Windchill PLM
November 1, 2022 – Present
India
Manufacturing Defect Pattern Analysis
June 1, 2026 – Present
Analysed 10,000+ rows of production defect data using Python (Pandas) and SQL queries Identified top 3 defect categories responsible for 70% of total rejections using Pareto analysis Visualised defect trends over time using Matplotlib; insights presented in a summary report
BOM Cost Analysis Dashboard
June 1, 2026 – Present
Built an interactive Power BI dashboard analysing multi-level BOM data for 500+ components Visualised part cost breakdown, revision history trends, and supplier-wise spend Simulated 40% reduction in manual reporting time through automated refresh and drill-through filters
Supply Chain & Inventory Analysis
June 1, 2026 – Present
Analysed supplier lead times, stock levels, and reorder patterns from a Kaggle manufacturing dataset Built pivot-based Excel dashboard highlighting slow-moving SKUs and overstock risk items Recommended reorder point adjustments that could reduce carrying costs by an estimated 15%
Pneumatic Air-Powered Engine
January 1, 2022 – January 1, 2022
Built an eco-friendly compressed-air engine prototype to demonstrate an alternative to fossil fuel-based propulsion
Four-Wheeler Load Detection Using Load Cell
January 1, 2022 – January 1, 2022
Designed a sensor-based safety system for real-time vehicle load monitoring to prevent accidents caused by overloading
Six Sigma Yellow Belt
Unknown
June 1, 2026 – Present
ISO 14971
Unknown
June 1, 2026 – Present
Manufacturing Process Validation
Unknown
June 1, 2026 – Present
Medical Quality Management System (MQMS)
Unknown
June 1, 2026 – Present
Power BI for Beginners
Microsoft Learn
June 1, 2026 – Present
Six Sigma Green Belt
Unknown
June 1, 2026 – Present
SolidWorks Tools Training
Udemy
June 1, 2026 – Present
English Communication
British Council
June 1, 2026 – Present
SQL for Data Analysis
Unknown
June 1, 2026 – Present
Python / CS50P
Harvard
June 1, 2026 – Present
Snowflake Basics
snowflake.com/try
June 1, 2026 – Present
Design History File (DHF)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong drive for continuous learning and career transition, actively pursuing data analytics skills to complement their existing domain expertise. Their background in mechanical engineering, coupled with experience in regulated industries, suggests a methodical and detail-oriented approach. The personal projects indicate initiative and a practical mindset. The target roles (Manufacturing Data Analyst, PLM Data Analyst, Engineering Data Analyst, Operations Analyst) align well with their current skill development and professional experience, indicating a clear career path and potential for a good cultural fit in data-driven manufacturing or engineering environments.
Soft Skills & Operational Fit
The candidate demonstrates strong organizational skills, attention to detail, and a proactive approach to problem-solving, as evidenced by their work in managing change requests and identifying BOM/lifecycle errors. Their experience in cross-functional coordination and GxP compliance suggests an ability to work effectively in structured, regulated environments. The pursuit of Six Sigma certifications indicates a commitment to process improvement and data-driven decision-making, which aligns well with an operational data analyst role.