Jerry Barboza

Biography

Jerry Barboza is a data analyst based in the Los Angeles metropolitan area. He holds a Master's in Computer Science from Arizona State University and dual Bachelor's degrees in Applied Mathematics (UC Davis) and Computer Science (Southern New Hampshire University). He is proficient in Python, SQL, and data visualization tools, and turns complex datasets into clear business insights.

Jerry joined Amazon in December 2021 and has grown from an associate role into Data Analyst (L4) since June 2026. Career highlights include:

Operations Analytics & Automation: Designed and deployed Python, SQL, and Slack API automation across 20+ Slack channels, delivering real-time throughput updates and operational reports to 100+ managers across 11 SSD sites in California. A path-compliance bot he built reduced non-compliance by 87%.
Machine Learning & Data Science: Completed graduate work in data mining, statistical machine learning, AI, data visualization, and big data at ASU.
Independent Analytics Projects: Analyzed 40,000+ Amazon package deliveries for logistics optimization and 16,000+ Tokyo Airbnb listings with GeoPandas, publishing the findings on Medium.
Training & Business Analysis: Delivered new-hire orientation as an interim Learning Trainer at Amazon and earned a Certificate in Business Analytics through Amazon Career Choice.

Education

Certification, Business Analytics

Aug 2025 - Feb 2026

Southern New Hampshire University

Activities and societies: Completed through Amazon Career Choice Key Courses: MAT 240: Applied Statistics (transferred from undergraduate studies) QSO 250: Business Analytics QSO 260: Descriptive Analytics QSO 320: Management Science through Spreadsheets QSO 370: Predictive Analytics Skills Developed: Applied statistics, descriptive and predictive analytics, data visualization, spreadsheet-based modeling, and business communication.

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Master's degree, Computer Science

May 2023 - May 2025

Arizona State University

Completed a Master of Computer Science at Arizona State University, focusing on data science, artificial intelligence, and modern system design. Gained hands-on experience through advanced coursework and applied projects in machine learning, data visualization, blockchain engineering, and distributed systems. Developed technical depth in AI algorithms, mobile computing, database management, and biocomputing. Key Courses: CSE 578 – Data Visualization CSE 511 – Data Processing at Scale CSE 575 – Statistical Machine Learning CSE 571 – Artificial Intelligence CSE 535 – Mobile Computing CSE 579 – Knowledge Representation and Reasoning CSE 572 – Data Mining CSE 531 – Distributed and Multiprocessor Operating Systems CSE 568 – Biocomputing CSE 412 – Database Management CSE 598 – Engineering Blockchain Applications

Experience

Data Analyst (L4)

Jun 2026 - Present

Amazon · California, United States · Full-time · On-site

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Data Analyst (L3)

Feb 2026 - Jun 2026

Amazon · Los Angeles County, CA · Full-time · On-site

• Designed and deployed Python, SQL, and Slack API automation across 20+ Slack channels, delivering real-time throughput updates, detailed operational reports, and site performance insights to 100+ managers across 11 SSD sites in California. • Developed a real-time path compliance bot that cross-references associate certifications against current work assignments and alerts managers via Slack, reducing non-compliance by 87%. • Built and scaled operational analytics tools that automated data fetching, reporting, and distribution for leadership. • Automated weekly Four Corners shift analysis with trend tracking and PDF report generation, improving reporting speed, consistency, and operational visibility. • Built hourly TPH tracking system with labor planning integration, providing real-time intraday visibility to operations managers. • Created compliance and safety tracking tools, including CA environmental training alerts and SRBRS safety vest activation tracking with threshold-based alerting.

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Learning Trainer (Interim)

Oct 2025 - Jan 2026

Amazon · Pittsburgh, PA · Full-time

• Led and delivered Day 1 and Day 2 New Hire Orientation, presenting 5 hour training sessions covering safety requirements, HR expectations, workplace culture, and operational workflow overview. • Use Microsoft Excel and internal tools to track training completion, identify certification lapses, and monitor cross-training status. • Plan and coordinate daily training schedules to ensure operational coverage while maintaining Standard Work performance expectations. • Collaborate with Learning team, PAs, AMs, AMCARE, and Operations to align training priorities with site goals and performance needs.

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Associate

Dec 2021 - Oct 2025

Amazon · Pittsburgh, Pennsylvania, United States · Part-time

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Social Media Specialist

May 2025 - Jan 2026

Aders & Herrera Law · Brea, California, United States · Part-time · Remote

Design and manage content for a multilingual personal-injury law firm serving clients in English, Spanish, Mandarin, Cantonese, Korean and Vietnamese. Manage and schedule posts across Instagram, Facebook, LinkedIn, Yelp, and Google Business. Create digital marketing campaigns for community events, firm anniversaries, and open-house promotions. Develop visual templates and short-form videos using Adobe Express.

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Data Analyst – (Independent Projects)

Oct 2021 - Jan 2026

Self-employed · United States · Remote

Amazon Delivery Delay Analysis • Analyzed 40,000+ Amazon package deliveries using Python (pandas, NumPy) to identify patterns in traffic congestion, weather impact, and route efficiency. • Visualized high-risk delivery zones and delay frequencies using heatmaps and histograms, providing data-driven insights to optimize logistics routing. • Built predictive models (Linear Regression, Random Forest, XGBoost) to estimate delivery time, achieving up to R² = 0.45 and identifying key delay factors like traffic, weather and distance. Tokyo Airbnb Data Analysis – Market Trends and Geospatial • Analyzed 16,000+ listings across Tokyo to uncover pricing trends and room-type distributions using Python, pandas, GeoPandas. • Created interactive maps, heatmaps, and bar charts; published results on Medium. Personal Health Data Analytics Project • Collected and analyzed personal health data from Apple Watch, including heart rate, sleep patterns, daily step counts, and activity levels. • Cleaned and processed the data using Python, pandas, and NumPy, identifying trends and correlations over time. • Visualized key health insights using matplotlib and seaborn, including heart rate variation by time of day and step count vs. sleep quality. • Created a summary report highlighting potential patterns related to stress, physical activity, and sleep efficiency. • Explored predictive modeling to understand fluctuations and detect anomalies in biometric data. • Developed strong practical skills in data wrangling, EDA (exploratory data analysis), and personalized health analytics.

Jerry Barboza

Biography

Education

Certification, Business Analytics

Master's degree, Computer Science

Teaching

Big Data Professional Certification, Computer Science

AI / ML Professional Certification, Computer Science

Bachelor of Science - BS, Computer Science

Bachelor of Science - BS, Applied Mathematics

Experience

Data Analyst (L4)

Data Analyst (L3)

Learning Trainer (Interim)

Associate

Social Media Specialist

Data Analyst – (Independent Projects)

Research & expertise

Credentials

Data Engineering on AWS - Foundations

Certificate in Business Analytics

Excel Basics for Data Analysis

Associate Data Analyst in SQL

Getting Started with Data Visualization in R

Tokyo Airbnb - Data Analytics