Akhil Rajagopal

Topic: Real-time battery cell voltage anomaly detection and root cause analysis using advanced machine learning methods • Developing a cell voltage prediction and forecasting model using advanced machine learning algorithms and evaluating the model using relevant performance metrics. • Implementing an anomaly detection model using the results obtained from the prediction and forecasted models. • Performing feature importance analysis and SHAP analysis to conduct root cause analysis of anomalies.

• Creation of python automation script for vehicle data extraction from various related sources. • Detection of anomalies in ECU log file data from vehicle production. • Working on anomaly detection in battery data using Machine Learning. • Support in building dashboard for battery anomaly detection using Dash and Plotly. • Participated in Porsche AI coding day Hackathon for the topic “Real Time Traffic Information”.

• Support in the realization of innovative projects in the field of IoT, Augmented Reality, Smart Factory, Smart Products and Machine Learning. • Completed digitalization project in the area of Smart Logistics in collaboration with Bossard and PDi Digital. • Support for the configuration and operation of automation technology and IT solutions.

• Daily performance monitoring and preparation of daily management reports. • Planning and Scheduling of production processes. • Maintaining daily Production plan for an improved inventory analysis using Excel VBA. • Maintaining Documents conforming to ISO standards. • Coordinate with the quality and process engineering team for new experiments. • Maintain 5S activities and any abnormal issues on the shop floor. • Successfully implemented the reduction of inventory in the production line using PDCA.