Nithin Pradeep Nadayil Kizhakkethil

Built a Plotly Dash tool to surface change management bottlenecks across car lines, turning known but unquantified delays into measurable insights for stakeholders Engineered the full data pipeline: complex SQL joins across Dremio, Python/Pandas transformation, interactive visualizations (Gantt, scatter, density plots) Insights directly used in process optimization meetings across multiple teams Owned the analytics module end-to-end as part of a broader internal tooling initiative

Contributed to stereo camera recalibration for the driverless vehicle perception system.

Managed work orders and task scheduling across engineering workflows using TPM tools Handled Catalogue Sequence Numbers and material/process tracking in SAP MM across engineering, planning, and quality teams Analyzed workflows, BOMs, and design solutions in Windchill PLM to support DMU creation and process sequencing Assessed technical non-conformities, identified root causes, and coordinated corrective action plans with cross-functional stakeholders Maintained 95% KPI compliance while automating re

Supported engineering workflow analysis and data operations across planning and quality teams

Thesis: Domain-Adversarial Deep Learning for Power Grid Fault Detection Courses Sem1: Machine Learning, Introduction to Deep Learning, Algorithms Programming and Data Visualisation, Data Science, Pattern Recognition. Sem2: Mechatronics Components and Systems, Robotics, Hardware-Software co des