Paramjot Singh Email & Phone Number

London, Gb

• Designed and implemented an ETL pipeline to extract, transform, and load USA Spending data, increasing update frequency from monthly to daily, resulting in a 30% reduction in FTE hours for the Federal Government’s DATA Act program.• Led the development of a scalable ETL process to ingest and consolidate data from multiple SharePoint files into a data warehouse, enabling the automation of backend workflows for DHS’s Federal Assistance Program Oversight, enhancing reporting efficiency.• Architected backend systems that unified financial assistance data for DHS, integrating monthly extracts from USA Spending and APIs, streamlining data consumption for analytics teams.• Developed and presented innovative NLP solutions to automate appropriations summaries from Congressional bill text, saving over 100 analyst hours, and driving process automation.• Advocated for best-in-class software engineering workflows by spearheading initiatives for version control, documentation, and project management tools, securing leadership buy-in and ensuring team-wide adoption.• Collaborated with cross-functional teams to establish short- and mid-term visions for integrating the entire data engineering lifecycle, aligning efforts with management and technical teams to streamline processes.• Created a disk profiler utility that sends an email with a report of large files and predicts when the disk space will hit a critical low that aids in resource planning.

Lisle, Il, Us

• Managed a team of embedded software engineers to ensure timely launch of over 10 vehicle programs, including conventional, electric, and autonomous vehicles.

Westmont, Il, Us

• Created and validated a turbocharger map correction model using client test data, leveraging Excel for data cleaning and optimization of over 1000+ designs in GT-SUITE. The deployed model significantly increased software usage and instilled high confidence in the obtained results.• Developed and validated a temperature sensor model that effectively captured the crucial physical effects influencing sensor measurements. This achievement led to enhanced model accuracy, a flexible user interface, and improved ease of use.• Designed and implemented simulation models for novel engineering systems, aiding the software evaluation phase for prospective projects. This contribution resulted in an outstanding 90% success rate in converting prospects into clients.• Engineered a clean and maintainable Python script to fully automate the model evolution process, reducing engineering time spent on the task by 95%.• Redesigned several UIs in GT-SUITE aiming for minimum and intuitive inputs from user as a part of UX design team.• Resolved range of technical questions related to customer models as a part of highly responsive customer support team.• Taught GT-SUITE software to GT (current and prospective) customers through customized trainings, standard classes, seminars and webinars.

• Created and validated linear regression models for key engine performance metrics (emissions, power, pressure, flow etc.) and deployed for real-time controls applications reducing product warranty and calibration cost while increasing system robustness• Designed experiments, collected and analyzed performance and emissions data and provided engine architecture recommendations for Dodge RAM 2500 pick-up truck and on-highway heavy-duty Cummins diesel engines• Tested novel combustion systems (supercritical combustion, specialized fuel injection systems for reduced emissions, specialized valvetrain systems for better control of engine performance) for future engine programs • Developed mean-value models using neural-networks for speeding-up turbocharger matching process.

• Recommended optimal aftertreatment hardware through prototype testing of a variety of systems. • Recommended optimal and robust combustion hardware design for two future engine programs at Cummins through various prototype hardware tests and data analysis.• Developed virtual sensors for a diesel engine's electronic controls through regression modeling of collected performance data.• Developed robust engine performance calibrations for various products using DOE, data analysis and in-house statistical optimization tool.• Designed and implemented a test rig to measure performance of urea mixers and support development of 3D-CFD analysis of different mixer designs (Six-Sigma Project, Cummins).• Developed a process to measure NH3 gas from exhaust emissions

Bachelor Of Science - Bs, Computer Science

Master Of Science - Ms, Mechanical Engineering

Bachelor Of Engineering - Be, Mechanical Engineering