I started with a background in Mechanical Engineering and moved into Product Lifecycle Management. I work primarily on Dassault Systèmes 3DEXPERIENCE, focusing on ENOVIA and CATIA. My experience includes PLM implementations, configuring business processes, managing change and variant workflows, and supporting engineering data and product lifecycle systems in enterprise environments.
Alongside PLM, I am building my skills in data science and artificial intelligence. I am particularly interested in how analytics and AI can integrate with engineering and manufacturing systems to enable better decision-making and more efficient digital processes.
I am driven by curiosity and continuous learning. I spend time exploring system design, manufacturing technologies, and photography. This website reflects both my professional work and my ongoing effort to learn, experiment, and build practical solutions.
What I’m Building
Study and Analysis of Impact of COVID-19 on Work-Life Balance of Frontline Workers
Designed and implemented a relational ride-sharing analytics database using SQL
Built structured schema (Drivers, Riders, Trips, SurgePricing) for scalable analysis
Processed and analyzed 50k+ NYC taxi trip records
Developed 25+ advanced SQL queries for KPI and behavioral insights
Evaluated surge pricing impact, rider retention, and driver income distribution
Transformed raw trip data into structured, decision-ready business intelligence
Led research on COVID-19 impact on work-life balance of frontline workers
Collected and analyzed 477+ survey responses from healthcare and essential workers
Designed structured questionnaire covering stress, workload, flexibility, and support factors
Applied statistical methods including regression, ANOVA, and chi-square analysis
Identified high stress levels, reduced job satisfaction, and work-life imbalance trends
Generated insights and recommendations for organizational support and workforce wellbeing




Ride-Sharing Analytics Platform — SQL Data Engineering Project
Customer Churn Prediction — Machine Learning Project
Built customer churn prediction model using Python ML tools
Conducted exploratory data analysis and feature engineering
Developed Random Forest model (~50% recall)
Identified key churn drivers through data analysis
Produced insights supporting customer retention strategies




















Python
SQL






Power BI


Tableau


Excel / Spreadsheets


Contact me with any questions or just to say a few nice words ... or mean ones. Up to you .... free will and all
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© 2026 Chandan N












