James Paz

Experienced Data Scientist with a passion for leveraging data to solve business problems and support strategic decision-making. My expertise includes building data-driven solutions to improve business processes and effectively communicate data insights across diverse sectors. As a mentor and lecturer, I guide individuals in translating complex data into business insights and helping them improve their decisions, helping them better understand how data affects their work.

My passion for data analytics drives me to innovate and develop practical solutions for real-world data problems, ensuring I stay aligned with the latest trends in AI.

Senior Data Scientist at Domo (2025-07 – 2026-02)

Supporting U.S. clients, including frame the business problem, validate data, and recommend solutions applying data science.

• Built and deployed a 2-phase heuristic scheduling optimizer for an iron castings manufacturer (allocation + daily sequencing) to reduce tool/stool changeovers and improve on-time delivery.
• Built and deployed a Marketing Mix Modeling Application to guide budget allocation, channel ROI, and marginal cost per incremental KPI.
• Built a fruit cartonization optimizer (SKU → box matching) cutting carton spend ~20% and boosting utilization from ~30% to 75%+.
• Developed a patient-level churn modeling pipeline for an HIV care program using patient-level data to flag disengagement risk and prioritize outreach.
• Implemented an end-to-end client-level churn modeling pipeline (using Salesforce + Application usage + Customer demographics), including cleaning, features, and churn target definition.

Generative AI Engineer at Golabs Tech (2025-07 – 2025-08)

• I mainly used MCP, LangGraph, and CrewAI to simulate SAP-like environments and also created agents that read GitHub repositories, summarized its contents and turned them into business-friendly reports.
• I worked closely with clients to understand their needs and adjusted the agent workflows accordingly. My day to day tasks combined prompt engineering and tool chaining using OpenAI's GPT models.

Data Scientist - People Analytics at Capgemini, Guatemala (2025-02 – 2025-07)

• Developed and deployed end-to-end data analytics solutions at the employee level, leveraging microservices to generate actionable insights that drive strategic workforce decisions
• Designed and implemented data integration pipelines, automating data flows to optimize reporting delivery and allow quick access to talent insights.
• Built interactive web interfaces to help stakeholders visualize key talent insights in an efficient way.

Master's Educator - Data Analytics at San Carlos University, Guatemala (2018-08 – 2025-07)

• Supporting the Faculty of Engineering in delivering master's-level programs in machine learning, statistics, probability and simulation & modeling
• Supported the Faculty of Science Economics in delivering master's-level programs in statistics and mathematics applied to finance
• Helping improve course content by incorporating Python programming, and ensuring students stay up to date with the latest trends and advancements in the fields of Machine Learning & AI

Masters Degree in Data Science for Business – ENAE Business School (2021-12 – 2023-05)

Masters Degree in Financial Management – San Carlos University (2012-01 – 2015-05)

Bachelor Degree in Electronics Engineering – San Carlos University (2002-01 – 2009-06)