Ana Mason User
@anamasonuser
Lead Data Scientist specializing in scalable ML, advanced analytics, and production-ready predictive models.
What I'm looking for
I’m a Lead/Senior Data Scientist with 8+ years building machine learning models, advanced analytics solutions, and scalable data systems for high-volume enterprise environments.
I specialize in predictive modeling from large-scale structured and unstructured data—driving customer behavior, churn prediction, demand forecasting, and operational optimization with measurable business outcomes.
I design and execute end-to-end data science workflows, from data ingestion and feature engineering to model deployment and monitoring in production—strengthening performance, accuracy, and system scalability through optimized pipelines and robust validation.
I bring strong expertise in Python, SQL, and distributed processing, integrating ML workflows into ETL/ELT pipelines with MLOps practices and CI/CD. I’ve deployed models on AWS and GCP with a focus on reliability and scale, and I collaborate effectively in remote-first, asynchronous teams.
Experience
Work history, roles, and key accomplishments
Lead Data Scientist
Alpha Bridge
Jun 2023 - Present (2 years 9 months)
Led end-to-end development of machine learning solutions for forecasting, customer behavior analysis, and operational optimization, improving decision-making accuracy. Designed and scaled ETL/ELT pipelines processing 50M+ records daily and implemented MLOps/CI/CD to standardize model deployment and lifecycle management.
Developed machine learning models for customer segmentation, churn prediction, and demand forecasting to support business strategy. Built scalable ETL pipelines on AWS and GCP, optimized large-scale processing with PySpark, and used statistical analysis and A/B testing to evaluate model outcomes.
Data Analyst
E Solution
Feb 2017 - Dec 2019 (2 years 10 months)
Cleaned, validated, and transformed raw data into structured datasets to support reporting and analysis. Built dashboards and automated reports for KPI tracking, and improved data quality by implementing validation checks.
Education
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