Open to opportunities

Bryan Townsend

@bryantownsend

Message

Data scientist driving production ML solutions for mining and heavy industry.

Chile

Message

What I'm looking for

I'm seeking remote roles where I can deploy production ML, deliver measurable impact in mining/heavy industry, work cross-functionally, and advance R&D in NLP and time-series models.

I 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.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Alert2Gain

Apr 2022 - Present (3 years 4 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.

Python XGBoost DBSCAN K Means NLP Time Series Docker

Data Scientist

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.

Genetic Algorithms Python TensorFlow Neural Networks Model Evaluation