nate

- Writing Prefect-orchestrated EL(T) pipelines running on GKS/EKS to support clients' data integration practice - Provisioning client infrastructure on AWS, GCP, Azure to enable HA, distributed workflows - Exploring, contributing to, and leveraging new data-integration tools like Airbyte to keep in touch with modern patterns - Identifying time & money sinks, reproducing important outcomes with open-source alternatives to inflexible, closed-source and costly tools

-Wrote Monte Carlo models of percolating systems using union-find and path compression methods to observe emergence of long-range connectivity in various networks -Automated simulation-analysis workflow using Python, pandas, and shell scripts (from 20 mins of organizing output data to < 5 seconds per batch of output data) -Drafted and summarized simulation results in LaTeX as potential publication material for my supervisor.

- Trained plant equipment models from aggregated cloud datasets using non-linear regression methods - Created and trained equipment models for 50+ new HYCO plants in Asia - Investigated deviating models to determine the process inputs causing error - Recommended action to plant managers for breaches of process specifications (e.g. recommend cleaning compressors if vibration readings persistently high) - Took part in re-platforming of in-house equipment modeling software

- Initiated transition from contracted to in-house website management by creating fully functional company website using HTML, CSS, JavaScript and Google API - Created production valve-seat models for project engineers with SOLIDWORKS - Worked closely with gauging department – created dimensioned part diagrams for operator reference and gathered operator input to improve workflow