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@bryantownsend
Data scientist driving production ML solutions for mining and heavy industry.
ChileI am a data scientist with 3+ years of experience delivering data-driven solutions in the mining and heavy industry sectors, skilled in supervised and unsupervised learning, time series forecasting, and NLP.
I have developed and deployed production models—including a clustering-based explosive estimation model presented at ISEE 2025 and an RUL prediction for 930E-4 engines with an MAE of 10 days—and focus on measurable business impact, such as identifying potential savings of $117,000 USD per hour. I leverage tools like Python, TensorFlow, Scikit-learn, Hugging Face, Docker, LangChain and LlamaIndex to move projects from prototype to production.
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Work history, roles, and key accomplishments
Alert2Gain
Apr 2022 - Present (3 years 7 months)
Developed clustering-based models (GMM, DBSCAN, K-means) to estimate explosive requirements and deployed them to production; work was presented at ISEE 2025. Built an RUL model for 930E-4 engines using NLP and XGBoost (MAE 10 days), designed automated alerts for shovel ropes, and identified operational deviations with potential savings of $117,000 USD per hour.
Minera Los Pelambres
Jul 2020 - Oct 2020 (3 months)
Built an LSTM neural network to forecast MP-10 emissions with 90% accuracy and developed a genetic-algorithm-based recommendation system to reduce emissions. Delivered models for operational use during the mining process.
Degrees, certifications, and relevant coursework
USBachelor of Science, Computer Engineering
Completed a Bachelor of Science in Computer Engineering at Universidad de La Serena, Chile.
PCBachelor of Science, Astronomy
Completed a Bachelor of Science in Astronomy at Pontificia Universidad Católica de Chile.
Software and tools used professionally
ChileYou can contact Bryan and 90k+ other talented remote workers on Himalayas.
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