Aswath Kolaron

Topic: A Data-Driven Approach Focused on Object Localization, Improving Machine-Learning Based Height Classification of Parking and Maneuvering Assistance System Create object localization-dependent features by exploring inter-relationships in the Ultrasonic sensor (USS) data. Perform data profiling (statistical analysis) on complex datasets to identify correlations and patterns. Feature engineering to optimize and add new features to the Azure Pipeline.

Worked as a Data Analyst in the service line of Automated Parking Functions with a focus on driving the development of ultrasonic sensor systems. Static and interactive visualization of measurement data to easily understand complex relationships. Communicating results of analyses to non-technical stakeholders involving metrics (KPI), reports, and dashboards (Qlik). Followed best practices in versioning code (git) and internal documentation.

Worked as a Data Analyst handling the service line of Ultra-Wide Band Localization. My task involved data collection using RESTful API, gaining business insights through data analysis, and building appropriate visualizations. Visualizations are made after a structured pre-processing and validation of collected data. I interact with management on a daily basis with the support of proper documentation. This can include presentations and/or custom-made dashboards built using Qlik sense.

Trained in team management, task planning, documentation, risk management, quality control, and project stakeholders coordination.

Worked with Inventory and workforce management. Carried out documentation and presentation of the weekly work. Initial training in the repair of four-wheel vehicles.