Open to opportunities

Daniel Lopez

@daniellopez4

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Senior Data Scientist specializing in LLMs, forecasting, and MLOps.

United States

Message

What I'm looking for

I seek a role building production ML/LLM systems with strong MLOps, cross-functional impact, mentoring opportunities, and measurable business outcomes.

I am a Senior Data Scientist with eight years building and scaling end-to-end AI and machine learning solutions across finance, legal, e-commerce, security analytics and IoT. I convert ambiguous business questions into measurable ML objectives and own delivery from discovery through production, driving measurable impact on retention, revenue, MTTR and forecast accuracy.

I specialize in LLM-powered NLP, recommendation systems, time-series forecasting and real-time anomaly detection, and I am expert in Python, SQL, TensorFlow, PyTorch, Hugging Face and cloud ML platforms. I lead MLOps practices, mentor teammates, and have delivered production systems that process tens of millions to billions of events per month with reproducible deployments, monitoring, and automated retraining.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Scientist

Current

AstroSirens

Oct 2021 - Present (3 years 11 months)

Led end-to-end ML delivery across multi-client engagements, deploying systems that processed 50M–2B events/month and cut manual contract review time by 70% while improving retention and forecasting accuracy.

Python PyTorch Hugging Face Elasticsearch AWS Sagemaker MLFlow

Data Scientist

Splunk

Jun 2018 - Sep 2021 (3 years 3 months)

Developed and scaled security analytics and observability ML for SIEM, reducing false positives by 30% and cutting unplanned downtime via predictive maintenance by 20%.

Anomaly Detection TensorFlow Spark Isolation Forest Hugging Face SIEM Model Monitoring

Junior Data Scientist

IBM

May 2017 - Apr 2018 (11 months)

Supported NLP and forecasting engagements, building text classification and entity extraction pipelines and Prophet/ARIMA forecasting models to inform operational planning.

TensorFlow Keras NLP Prophet ARIMA SQL Redshift Spark Data Validation

Education

Degrees, certifications, and relevant coursework

University of Houston

Master of Science in Engineering, Data Science and AI

2015 - 2017

Completed a Master of Science in Engineering focused on Data Science and AI, covering advanced machine learning, deep learning, and applied analytics.

University of Houston

Bachelor of Science, Computer Science

2011 - 2015

Completed a Bachelor of Science in Computer Science with coursework in algorithms, software engineering, and systems relevant to data and ML applications.