Alex D'Ippolito

Experience

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  Keyera

  Jul 2009 - Mar 2014

  Process Control Engineer

  • Managed budgets, schedules, and resources for automation projects• Investigated near miss incidents using root cause analysis and provided key recommendations to senior managements• Programmed ABB 800xa DCS and Modicon PLCs for process control projects

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  Spartan Controls

  Nov 2014 - Sept 2022

  • Programmed and commissioned an advanced process control system at a copper and gold mine,resulting in an annual revenue increase of $6+ million and reduced operator stress.• Programmed and commissioned an MPC (model predictive control) system for a SAGD facility that provided an annual revenue increase of $30+ million and reduced operator load.• Assessed, designed, and implemented regulatory and advanced control applications to provide control performance improvements and reduce operating expenses of industrial facilities.• Produced detailed design documentation such as SAMAs, control narratives, shutdown keys, etc Show less • Led FATs (Factory Acceptance Tests) of control narrative and shutdown key programming for client engineers and project managers• Performed SATs (Site Acceptance Tests) of new controller hardware cabinets, verified grounding, power distribution, and heat dissipation• Commissioned sensors and transmitters of Foundation Fieldbus, DeviceNet, Asi-Bus, TCP/IP, Modbus, and traditional 4-20 mA analog I/O• Solved operating issues with software logic, faulty instruments, and hardware failures Show less

  • Advanced Process Control Engineer

    Jan 2019 - Sept 2022

  • Control Systems Specialist

    Nov 2014 - Dec 2018
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  Kaggle

  Nov 2022 - now

  Machine Learning Competitions

  kaggle.com/alexdippolitoEngaged in data science competitions to solve real world problems.• Feature Imputation with a Heat Flux Dataset - Finished 3rd out of 693 competitors- Utilized a K-nearest neighbors imputer and ensemble of LightGBM and XGBoost models to predict equilibrium quality of a cooling fluid based on pressure, mass flux, and channel dimensions.• Prediction of Wild Blueberry Yield - Finished 89th out of 1875 competitors- Programmed an ensemble of LightGBM models to predict blueberry yield based on pollinator density, temperature range, and rainfall.• Binary Classification with a Tabular Kidney Stone Prediction Dataset - Finished 188th out of 1088 competitors- Configured XGBoost models to predict the presence of kidney stones in patients based on feature analysis of urine samples (calcium concentration, conductivity, etc.) Show less

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  GeologicAI

  Jan 2024 - now

  Data Scientist

  • Developed a statistical model that predicts when SWIR (short wave infrared) camera coolers are near failure.• Developed robust and scalable quality control Python scripts which continuously monitor instrument measurement quality and alert operations when an issue is detected.• Developed a Python operations log extraction tool which provides a complete view of day to day scanning activities allowing bottleneck identification and provides essential troubleshooting support when problems arise.• Created an XRF (X-ray Flourescence) Python tool that revolutionized how X-ray data was displayed, gathered, and used for troubleshooting.• Received an internal award from the geoscience team for demonstrating an alternative method of processing hyperspectral data that was necessary due to hardware failures. Show less