Paramjot Singh Email and Phone Number
Over the last many years, I am independently learning and utilizing open-source tools to create data-driven visualizations and products. I am passionate to utilize Python, machine learning and statistics to build data pipelines, reduce friction between siloed data sources to accelerate business decision making process.I firmly believe in maintaining a growth mindset and tenacity. This drives me to continue to challenge myself to learn new skills.My approach to building products involves striking a balance between conducting thorough analysis and iterating rapidly. This methodology has served me well throughout my engineering career, where I have designed intricate engineering systems, such as engines used in a variety of applications from lawn mowers to ships, and chemical reactors to help preserve our environment.I have a strong passion for learning about the world we live in and enjoy sharing my knowledge with others. Through writing over 100 blog articles on data science and computing, as well as teaching simulation and analysis tools to engineers from renowned companies such as BMW, Ferrari, Ford, Honda, US Air Force, Cummins, John Deere, and more, I have been able to impart my expertise on others.Technical Skills:Programming Languages: Python, SQL, R, C++, C, Racket, JavaScriptMachine Learning: Supervised Learning, Unsupervised Learning, Regression, Classification,Clustering, Natural Language Processing (NLP), Model Development and Optimization, Feature Engineering, Model Evaluation and Validation, Cross-validation, Hyperparameter Tuning, Dimensionality ReductionDeep Learning Frameworks: TensorFlow, KerasData Manipulation and Analysis: Pandas, NumPy, SQLiteData Visualization: Matplotlib, Seaborn, ggplot2Version Control: Git, Jira, GitLabData Science: Data Cleaning and Preprocessing, Exploratory Data Analysis (EDA), StatisticalAnalysis and Hypothesis Testing, Data Visualization Techniques, NLP TechniquesSoftware Engineering: Object-Oriented Programming (OOP), Functional Programming, SoftwareDevelopment Life Cycle (SDLC), Unit Testing,Mathematics and Statistics: Linear Algebra, Calculus, Probability and Statistics, StatisticalModeling, Statistical AnalysisDatabase Management: SQL, SQLite, Oracle, PostgreSQLCollaborative Tools: Jupyter Notebooks, Google Colab, GitHubCommunication Skills: Verbal and written communication, data storytelling, ability to effectivelypresent data and insights, cross-functional collaboration
Bae Systems
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Principal Application Developer (Sr.)Bae Systems Jul 2023 - PresentLondon, 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.
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Product Manager - Embedded SoftwareNavistar Inc Jan 2023 - Jul 2023Lisle, Il, Us• Managed a team of embedded software engineers to ensure timely launch of over 10 vehicle programs, including conventional, electric, and autonomous vehicles. -
Senior Engineer, Simulation & Data AnalysisGamma Technologies, Llc Sep 2011 - Jan 2023Westmont, 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. -
Senior Analysis EngineerCummins Inc. Jan 2009 - Sep 2011• 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.
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Performance Systems Integration EngineerCummins Inc. Jan 2006 - Dec 2008• 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
Paramjot Singh Education Details
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Goldsmiths, University Of LondonComputer Science -
Michigan Tech, Houghton MiMechanical Engineering
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Thapar Institute Of Engineering & TechnologyMechanical Engineering
Frequently Asked Questions about Paramjot Singh
What company does Paramjot Singh work for?
Paramjot Singh works for Bae Systems
What is Paramjot Singh's role at the current company?
Paramjot Singh's current role is I collaborate to conceive, design, build and deploy data products empowering teams with accelerated decision making capabilities..
What schools did Paramjot Singh attend?
Paramjot Singh attended Goldsmiths, University Of London, Michigan Tech, Houghton Mi, Thapar Institute Of Engineering & Technology.
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