I'm a Data Scientist and Technologist with a proven track record of leveraging data-driven insights to solve complex, novel problems across international, cross-functional teams. Specializing in algorithm development, pipeline optimization, and process automation, I excel at transforming technical challenges into impactful solutions. A collaborative communicator, I am passionate about driving innovation, enhancing operational efficiency, and delivering significant business value through robust technical solutions and compelling data visualizations.
Data Scientist II
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Summary
Drove significant business impact through advanced data science solutions, including algorithm development, process optimization, and asset enhancement within a global consulting environment.
Highlights
Engineered and deployed a scalable rescheduling algorithm, bridging call center supply-demand gaps and projected to deliver over $100M in economic impact.
Optimized and adapted airline forecasting, scheduling, and skills routing systems to meet evolving requirements, providing comprehensive training to clients on core logic.
Led the end-to-end development and deployment of a complex data integration and optimization project, reducing processing and service level times by 50%.
Enhanced the FrontlineAI asset, increasing its adoption by 80% across engagements through improved technical documentation and robust analytical visualizations.
Developed a skills-based routing algorithm, improving project initiation times by 40%.
Formulated and integrated a demand smoothing feature into a scheduling optimization program, reducing unserved demand hours by 38%.
Enhanced the CustomerOneW asset, driving increased usage by implementing a new customer acquisition model.
Automated feature selection within retail banking algorithms, significantly preventing data loss (10-50%).
Engineered comprehensive 'Know Your Customer' dashboards to provide actionable insights.
Reduced CircleCI costs by 30% and improved operational efficiency through strategic optimizations.
Authored complete technical documentation for key systems, ensuring knowledge transfer and maintainability.
Data Scientist
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Summary
Implemented data-driven solutions to enhance operational efficiency and financial processes within a human resources software company.
Highlights
Automated the purchase order workflow, leading to a 45% reduction in outstanding invoices.
Spearheaded the organization-wide adoption of Tableau, decreasing manual reporting efforts by 30%.
Automated Monthly Recurring Revenue (MRR) generation, streamlining the process to under one minute per report.
Implemented a real-time alert system for monitoring discount anomalies, reducing investigation time by 70%.
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Bachelor
Civil Industrial Engineering
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Exchange - Master
Data Science
Published by
Natural Resources Journal
Summary
Authored an article proposing a novel methodology for assessing natural and anthropogenic variables, contributing to environmental data analysis.
Native
Basic
Conversational
Basic
Basic
Fluent
Issued By
Amazon Web Services
Issued By
Cambridge English Language Assessment
Issued By
Cambridge English Language Assessment
CircleCI, Docker, GitHub.
Mkdocs, Sphinx, Technical Writing.
Pulp, Scikit-learn, Pandas, PySpark.
AWS, GCP (Google Cloud Platform), Azure, Databricks.
Python, R, SQL, Julia, Java, Javascript, HTML.
Tableau, Streamlit, Dash, node.js.
Kedro, MLflow, React.
Jira, Notion, Microsoft Office Suite.
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Summary
Developed and will present a workshop at PyCon Chile focused on leveraging Kedro for Generative AI applications and robust data pipelines.
