Phillip M Baker
Boston
Summary
Data scientist with 8+ years of experience delivering data-driven solutions in the container leasing industry. My career began in business intelligence, where I built over 50 enterprise analytics dashboards in Qlik Sense across operations, finance, sales and credit. I transitioned into data science to solve more complex business problems, developing machine learning models for container inventory optimization, container photo analysis and container news summarization. I develop and deploy end-to-end applications that combine data engineering, machine learning and modern web technologies to improve decision making across the container lifecycle.
Overview
9
9
years of professional experience
Work History
Data Scientist
CAI International
San Francisco, CA (Remote)
01.2023 - Current
- Developed a suite of machine learning models to optimize container allocation and inventory decisions.
- Trained predictive models for sales pricing, lease rates, repair estimations, storage time and reposition cost.
- Utilized DataRobot for automated machine learning model training, deployment and monitoring.
- Developed a computer vision model for automatic container photo tagging in repair inspection workflows.
- Created an LLM-assisted shipping news summarizer that distributes focused and personalized news summaries to CAI employees through email.
- Developed custom web pages and reports on the staff intranet in Perl and JavaScript.
- Developed a Depot API for repair estimates and container movements used by both internal teams and external systems.
- Assisted in the design and implementation of an enterprise reporting data warehouse.
Data Scientist
Beacon Intermodal Leasing
Boston, MA (Remote)
01.2022 - 01.2023
- Migrated and rewrote 20+ Qlik Sense apps during the merger with CAI International.
- Developed Qlik NPrinting static reports and sceduled email distribution tasks.
Business Analyst in IT
Beacon Intermodal Leasing
Boston, MA
06.2019 - 12.2021
- Developed 50+ Qlik Sense business intelligence applications across operations, finance, credit, sales and marketing.
- Collaborated with stakeholders to gather requirements and translate business needs into interactive dashboard and self-service analytics.
- Built complex ETL workflows and data models using SQL and Qlik scripting.
- Assisted in the development of an enterprise data warehouse.
- Automated reporting processes, reducing manual work and improving data accuracy and timeliness.
Commercial Analyst
Beacon Intermodal Leasing
Boston, MA
12.2017 - 06.2019
- Developed a database and Qlik Sense application for tracking container production.
- Reviewed and approved 400+ detailed depot invoices each month.
- Assisted in the migration of reports from QlikView to Qlik Sense.
Education
Bachelor of Science - Mathematics
University of California, Irvine
Irvine, CA2016
Skills
Programming Languages: Python, SQL, JavaScript, Perl
Data Science: Machine Learning, Predictive Modeling, Computer Vision, Large Language Models, Statistical Analysis, DataRobot
Cloud Platforms: Microsoft Azure, Azure SQL, Azure OpenAI, CosmosDB, Azure App Service, CosmosDB
Data Analytics: Qlik Sense, Power BI, Data Warehousing, ETL, Data Modeling
Project Management: Agile, Scrum, Jira, Git/GitHub
Timeline
Data Scientist
CAI International
01.2023 - Current
Data Scientist
Beacon Intermodal Leasing
01.2022 - 01.2023
Business Analyst in IT
Beacon Intermodal Leasing
06.2019 - 12.2021
Commercial Analyst
Beacon Intermodal Leasing
12.2017 - 06.2019
Bachelor of Science - Mathematics
University of California, Irvine