Giancarlo Martinez

/ WHAT I BUILD

CLOUD & AWS
ENGINEERING

Terraform-provisioned infrastructure, AWS IoT SiteWise, and serverless architecture — leading plant-wide AWS R&D at Mazda Toyota Manufacturing.

MACHINE LEARNING
& DATA ANALYTICS

TensorFlow/Keras and NLP models, Python/Pandas pipelines — like the open-end robot that flags low-value survey responses at 90% accuracy.

ANALYTICS-DRIVEN
AUTOMATION

Power Apps, Power BI, and Python REST APIs that eliminate manual work — 137.5 hours a year recovered with one deployment.

/ EXPERIENCE

MAZDA TOYOTA MANUFACTURING

Specialist, Data Analytics & Systems Development · July 2025 – Present

Abnormal Tracker · est. $50K–$100KPlant-wide Power Apps parts-accountability app with unified visibility across 3,000–4,000 parts; migrated 49,000 historical records across two plant divisions with zero launch issues — saves 15–20 minutes a day, ~63 hours of manual input per year.
AWS R&D · Plant Innovation LeadLeading the plant-wide AWS research initiative; architecting an IoT SiteWise proof-of-concept to establish AWS as the platform for operational innovation — research, stakeholder meetings, and momentum owned end-to-end.
ICS API · est. $50KThree Python REST APIs and two Power BI dashboards (~3,000 lines of code) eliminating 137.5 hours of annual manual work (~$5,500/year in labor); fully automated deployment via Task Scheduler, PowerShell, and SQL Server — 95–98% independently executed.
Assembly Kaizen · est. $50KFirst Power Apps application built from zero platform experience; delivered in 2 weeks against a 4-week plan — 50% ahead of schedule.
QLC App · est. $50KPlant-wide Quality Dojo scheduling and tracking app serving the full Team Leader population; delivered in 1 week against a 1-month scope — 75% ahead of schedule.

DESIGNALYTICS

ML Engineer / Data Analyst · June 2024 – June 2025

Open End RobotIndependently developed a TensorFlow/Keras NLP model and pipeline (NumPy, Pandas, ragged tensors) and deployed it on AWS with a partner engineer — 90% accuracy flagging low-value and AI-generated survey responses, saving analysts 1–2 hours of cleaning every morning.
Created and deployed eye-tracking and open-ended surveys online to gather client data.
Performed survey QA to ensure the quality of code and logic.
Reported results for package redesigns and developed custom solutions to client specifications.

TRANSCEND

Data Analyst & Project Manager · May 2023 – June 2024

Led and completed 15 exploratory data analysis projects in Python (Pandas, NumPy, Matplotlib, Seaborn) — preprocessing, cleansing, analysis, and visualization for consulting programs.
Directed competitive research on Huntsville City Schools data — key performance indicators, school rankings, and strategic recommendations from qualitative and quantitative analysis.
Developed and delivered stakeholder presentations that carried data-driven insights into decisions.
Managed data entry and organization in Excel, preparing structured datasets for analysis.

/ WHAT I BUILD

CLOUD & AWS
ENGINEERING

MACHINE LEARNING
& DATA ANALYTICS

ANALYTICS-DRIVEN
AUTOMATION

/ SELECTED WORK

SERVERLESS AWS ONBOARDING BACKEND

THIS SITE, SHIPPED ON AWS

A* VS DIJKSTRA PATHFINDING

/ EXPERIENCE

MAZDA TOYOTA MANUFACTURING

DESIGNALYTICS

TRANSCEND

/ BEYOND THE DESK

/ EDUCATION & CERTIFICATIONS

EDUCATION

CERTIFICATIONS

LET'S BUILD
SOMETHING.

GIANCARLO MARTINEZ

/ WHAT I BUILD

CLOUD & AWSENGINEERING

MACHINE LEARNING& DATA ANALYTICS

ANALYTICS-DRIVENAUTOMATION

/ SELECTED WORK

SERVERLESS AWS ONBOARDING BACKEND

THIS SITE, SHIPPED ON AWS

A* VS DIJKSTRA PATHFINDING

/ EXPERIENCE

MAZDA TOYOTA MANUFACTURING

DESIGNALYTICS

TRANSCEND

/ BEYOND THE DESK

/ EDUCATION & CERTIFICATIONS

EDUCATION

CERTIFICATIONS

LET'S BUILDSOMETHING.

CLOUD & AWS
ENGINEERING

MACHINE LEARNING
& DATA ANALYTICS

ANALYTICS-DRIVEN
AUTOMATION

LET'S BUILD
SOMETHING.