.jpg)
Hiram Zuniga
Data Scientist | BI Developer
San Diego, California, US
About Me!
I build end-to-end analytics and ML solutions that move from data to decisions.
I work across the stack—Python, SQL, AWS, Excel and Power BI. I design REST APIs, write unit tests, and have experience with Git/GitHub. I also automate processes with Power Automate and Power Apps for business solutions.
What I do best:
-
Design clean data pipelines (Python, SQL, APIs) and integration via REST APIs
-
Develop and evaluate ML models (classification, clustering, regression, etc.)
-
Deploy and automate on AWS (Bedrock, SageMaker, S3, Lambdas, Step Functions, DynamoDB, RDS, SQS, EventBridge, etc.)
-
Deliver decision-ready reporting (Power BI, Excel) tied to business KPIs
-
Ensure quality and reliability (unit tests, data validation, monitoring)
-
Operationalize workflows with Power Automate / Power Apps as needed
Excel
AWS (Amazon Web Services)
Python
PowerBI
Machine Learning
Real World Data Problems
Featured Projects
Featured Projects
Explore a variety of projects that showcase Data Science and Cloud Computing skills and experience
Logistics Business Dashboard
KPIs, time metrics, order mapping, and pallet utilization—all in one dashboard.
This project addressed a real business need: providing company leaders with actionable insights into warehouse performance, order volumes, pallet space utilization, and SLA compliance—all in one unified dashboard. With this solution, stakeholders can instantly identify which states and customers generate the most orders, monitor real-time pallet utilization and over time, track order processing times, see at a glance if warehouse teams are meeting SLAs for order receiving and shipping, determine which customer segments (3PL vs B2C) drive the most pallet usage, and quickly spot bottlenecks or outliers.
The dashboard brings together data from multiple sources—including daily API reports, warehouse management systems (WMS), Microsoft Lists, and custom-built Excel exports—ensuring everyone has reliable, up-to-date information in a single place.
Operations App
Unified solution for container tracking, SLA compliance, and operational efficiency.
Built to solve a critical visibility gap in container handling, the Operations App empowers teams to track every milestone from arrival to final processing, ensuring SLA compliance and unifying import/export workflows. By consolidating data entry from multiple departments into one controlled system, it eliminated the errors and delays of Excel-based tracking, giving leaders accurate, real-time data to identify bottlenecks and make faster decisions.
Developed in Power Apps with Microsoft Lists as the backend, the app delivers clean, validated data directly to the operations dashboard, creating a single source of truth for warehouse performance.
Education:
Bachelor Degree | Computer Science
2022 - 2026
Study Abroad Course | Big Data Analysis
Seoul, South Korea
2024
Studied a course for big data analysis at Yonsei University, Korea.
Learned the core fundamentals of Hadoop, HiveQL, Tableau, Excel to interpret big data and PowerBi visualization.
Learned to interact and be in a multicultural space from people all around the world.
Developed strong skills in database design and management using SQL and Oracle, creating a fully functional web application connected to an Oracle database from scratch. Gained experience in statistics, machine learning, data visualization, and project management through practical and multidisciplinary projects.
Work Experience
Certifications
Data Analyst Intern
-
Built dynamic Power BI dashboards for KPI tracking.
-
Automated reporting with Python (APIs, Pandas) and uploaded results to SharePoint.
-
Created Power Automate flows to schedule and trigger tasks, boosting efficiency.
Junior Data Analyst
-
Manage the full Power BI environment: modeling, design, tuning.
-
Automated pipelines via APIs, GitHub scripts, cron jobs, and Power Automate.
-
Built a Power Apps solution to capture operator/import/export data company-wide, improving data quality vs Excel.
-
Delivered real-time dashboards driving faster decisions.
ExpoEngineering recognition
Won 1000 dllrs in Hackathon