Saeb Ragani Lamooki

Data Scientist, IoT solutions

Role
Data Scientist at Kelvin
Location
Dallas, TX, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Saeb Ragani Lamooki

Senior Machine Learning Engineer with 6+ years of industry experience building and…

Experience

  1. Data Scientist

    Kelvin

    Feb 2022 — Present

    Sand dryer optimization:1- Developed a real-time optimization model to maximize sand dryer feed rate, maintaining exit sand temperature at target values.2- Deployed closed-loop model on live process data, achieving 16% increase in production and 60% reduction in waste during pilot.3- Demonstrated potential for $1.5M/month profit margin improvement across 8 dryers, positioned Kelvin for enterprise contract, currently in final negotiation.Gas well management:1- Loss classification: Developed and deployed ML application to classify 9 loss events across 1,200+ gas wells using time series analysis techniques; automated detection every 8 hours, enabling proactive maintenance and driving customer adoption.2- Artificial lift optimization: Developed and deployed rules-based control applications to optimize well shut time and regulate plunger arrival speed across 200+ gas wells, improving production efficiency and equipment reliability.3- Delivered the solutions for an existing enterprise customer, strengthening the relationship and expanding adoption of Kelvin’s platform at scale.Soap injection optimization:1- Designed an application to optimize foam and anti-foam consumed by gas wells and deployed to tens of assets.2- Delivered as an open-loop solution during the pilot, later adopted as a closed-loop enterprise solution, leading to a long-term contract with a new customer.

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Saeb Ragani Lamooki — Data Scientist at Kelvin in Dallas, TX, US | Unifers