Assisted instructor with the evaluation of course assignments and development of feedbackHeld office hours with students to review materials and answer questions covering the fundamentals of Deep Learning and Neural Networks

Devised and deployed novel Assay Performance Monitoring framework using statistical and machine learning models to identify trends and change points in time-series assay signalsAutomated root cause analysis using statistical models, to provide reasoning behind process deviations.Engineered report generation pipeline using on-premise HPC and Google Drive API to alert scientists of any deviations, reducing internal workflow by 50%.Programmed Bash scripts and scheduled Cron jobs to ETL data into the report generation frameworkCrafted an interactive Tableau dashboard with SPC charts, reducing time spent on analysis by 70%Performed extensive research on change point detection, model selection criteria, and synthetic data generation methods to improve the performance of the system.Collaborated cross-functionally to gather user needs and communicated results to all stakeholders with success

Studied the working concepts of servo drives, servo motors, and PLCs.Analyzed PLCs and it’s modules.Worked with different PLC programming tools using ladder logic for understanding and simulating automation