Matplotlib

Environmental Time Series Analysis & Regulatory Reporting: Developed comprehensive time series visualization systems at INTERA for environmental monitoring data that required regulatory compliance reporting and client presentations. The challenge involved processing large volumes of environmental measurements from multiple monitoring stations and creating clear, professional visualizations that demonstrate compliance with environmental regulations. Successfully implemented automated plotting workflows that generate standardized time series charts, statistical analysis visualizations, and regulatory compliance reports that meet strict environmental consulting standards and client requirements.

Chemical Process Optimization Visualization System: Created sophisticated visualization systems at Momentum Technologies for mapping chemical processes and visualizing predictive equations derived from experimental data points. The project required developing plots that could clearly show the relationship between process parameters and outcomes, enabling optimization of chemical processes through visual analysis. Successfully implemented custom plotting workflows that visualize complex chemical process data, predictive models, and optimization results, providing clear insights for process improvement and decision-making.

Autonomous Vehicle Sensor Data & Performance Visualization: Architected comprehensive sensor data visualization and performance metric plotting systems for the autonomous vehicle simulator project. The challenge involved creating debugging visualizations that could clearly show sensor performance, system metrics, and validation results to ensure correct autonomous vehicle behavior. Successfully developed visualization workflows that process real-time sensor data, performance metrics, and system debugging information, enabling effective development and validation of autonomous vehicle systems through clear visual feedback.

Multi-Format Data Processing Visualization Pipeline: Designed and implemented visualization pipelines that handle diverse data sources including original CSV files, processed DataFrames, and NumPy arrays across multiple industry applications. The challenge involved creating consistent, professional visualizations that could adapt to different data formats while maintaining visual quality and analytical clarity. Successfully created flexible plotting workflows that seamlessly integrate with data processing pipelines, providing immediate visual feedback for data analysis and validation across environmental, chemical, and automotive applications.