Giancarlo Martinez

/ WHAT I BUILD

FULL-STACK
APPLICATIONS

Next.js, React, and TypeScript over PostgreSQL through Prisma — plus Python REST APIs. Requirements, schema, API, UI, and deployment owned end-to-end.

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 scheduled ETL pipelines that scrape enterprise systems through browser automation — 137.5 hours a year recovered.

/ EXPERIENCE

MAZDA TOYOTA MANUFACTURING

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

Leased Vehicles Platform · in developmentLeading the technical implementation of a full-stack web application end-to-end — Next.js, React, and TypeScript over PostgreSQL through Prisma ORM, with API routes, type-safe server actions, and role-based access control for data access. Own requirements gathering, schema and data modeling, API design and development, and UI development
Abnormal Tracker · est. $50K–$100KPlant-wide Power Apps parts-accountability application giving unified visibility across 3,000–4,000 parts where no consolidated view previously existed; migrated 49,000 historical records across two plant divisions with zero functionality issues at launch — saves ~40 seconds per tap, recovering 15–20 minutes a day and an estimated 63 hours of manual input annually.
AWS R&D · Plant Innovation LeadLead the plant-wide AWS research and development initiative; architected and delivered a working proof-of-concept for AWS IoT SiteWise, validating infrastructure planning, provisioning, and management against synthetic data over a complex system — research, stakeholder engagement, and roadmap direction owned end-to-end. Originate solutions rather than respond to them: source the idea, run the research, build the proof-of-concept, and present it to engineering, project management, and senior leadership to win adoption — predictive maintenance on IoT SiteWise, Amazon Q Business, cost-optimized storage, and offloading application workloads to AWS. Built and presented the internal business case that secured executive sponsorship for MTM attendance at AWS re:Invent.
Assembly Cross Check · est. $50K–$100KSolo-built a four-phase data platform end-to-end — pipeline, automation, forms, Power Apps applications, and dashboards — cutting manual data entry by 90%+ across two workflows: survey entry from 30–60 minutes per class to under 3 minutes, and process completion entry from 30 minutes to under 1 minute. Delivered 3 dashboards and a Kaizen completion tracking application, with Phase 3 cutting data entry and chart creation from 2–3 hours down to 3–5 seconds on the dashboard; Phases 3 and 4 delivered in 5 and 8 working days.
ICS API · est. $50KArchitected and built an automated ETL and data ingestion pipeline — 3 Python scripts (~3,000 lines of code) using Playwright browser automation to scrape and download data from enterprise systems on a scheduled basis, loading into SQL Server and surfacing through 2 Power BI dashboards. Eliminated 137.5 hours of annual manual work and recovered ~$5,500/year in labor. Configured fully automated end-to-end deployment via PowerShell and Task Scheduler requiring zero manual trigger — 95–98% independently executed.
QLC App · est. $50KPlant-wide Quality Dojo scheduling and tracking application serving the full Team Leader population; the first tool developed specifically for the QLC process — 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

FULL-STACK
APPLICATIONS

CLOUD & AWS
ENGINEERING

MACHINE LEARNING
& DATA ANALYTICS

ANALYTICS-DRIVEN
AUTOMATION

/ SELECTED WORK

TERRAFORM-AWS SERVERLESS IDENTITY VERIFICATION

DJANGO SALON SCHEDULER — CI/CD TO EKS

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

FULL-STACKAPPLICATIONS

CLOUD & AWSENGINEERING

MACHINE LEARNING& DATA ANALYTICS

ANALYTICS-DRIVENAUTOMATION

/ SELECTED WORK

TERRAFORM-AWS SERVERLESS IDENTITY VERIFICATION

DJANGO SALON SCHEDULER — CI/CD TO EKS

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.

FULL-STACK
APPLICATIONS

CLOUD & AWS
ENGINEERING

MACHINE LEARNING
& DATA ANALYTICS

ANALYTICS-DRIVEN
AUTOMATION

LET'S BUILD
SOMETHING.