AYUSHMAN CHAHR

During DMRC internship in Mechanical Section, specialized in bogie suspension systems, fire fighting, brake/pneumatic systems, and metro door operations. Gained hands-on expertise in HVAC systems critical for passenger comfort and safety. Contributed to locomotive engine refinement projects enhancing efficiency. Developed strong foundation in metro rail mechanical engineering systems.

• Developed comprehensive HVAC data analytics solution processing [X] data points

daily from building automation systems, implementing seasonal decomposition

algorithms (STL/ARIMA) for trend analysis and isolation forest/z-score methods

for outlier detection,

•enabling data-driven optimization of chiller operations,

AHU scheduling, and thermal comfort.

Built end-to-end data pipeline for airport FFS/FIDS analytics, integrating

real-time flight data.

•Anomaly detection on RFID/sensor streams flags jams 30min early (features: velocity variance, queue length). Achieves 95% precision using XGboost / Light GBM

•predict BHS jams (jam/no-jam) from conveyor metrics (load, speed variance), or PBB faults (aligned/misaligned) via dock sensors. Coefficients reveal key drivers like peak-hour volume; regularized L2 variants handle multicollinearity in high-dimensional airport IoT streams.