Other information
I’m bilingual in English and Spanish, and my background spans engineering, supply chain and data, so I’m comfortable working across very different teams and problems.
Right now I’m building TDABC Copilot, an AI project based on my engineering thesis on logistics costing, and studying for the Microsoft PL-300 Power BI certification. You can see my work here: https://seemly-rise-bc3.notion.site/Yamit-Chinchilla-Data-Analyst
I’m based in Sydney and available to start immediately.
Able to work in Australia without visa sponsorship
Requires visa sponsorship to work in Australia
Work experience
Proudest professional achievement
At an Australian AdTech scaleup specialising in out-of-home advertising measurement, the ops team was converting client Insertion Orders into Booking Forms by hand. Each one took 45 to 120 minutes, across roughly 8 campaigns per person a day, and errors in dates, supplier codes and formats kept slipping through.
I rebuilt the process using AI. I mapped every business rule, then built two Gemini Gems to handle the conversion and creative allocation, plus a Claude Skill backed by a Python script for the wider team. The part I'm most proud of is how I handled trust: instead of letting the AI silently guess, every output was tagged as AUTO, INFERRED or NEEDS_REVIEW, so the team knew exactly what to check. A partial booking form with clear flags beats a complete one with hidden errors.
Processing dropped to around 25 minutes per campaign, saving 100+ person-hours a week, and the tool was rolled out to the ops team in the Philippines. Internally it was seen as a game changer, and it opened up the conversation about what AI could actually do for the business beyond just this one process. It showed me that the hard part of applied AI isn't getting the model to produce an answer, it's designing the system so people can rely on it. That's the kind of work I want to keep doing.
Data Analyst and IT & Data Support Engineer with 3 years of experience across AdTech, SaaS, and operations environments. Skilled in SQL, Python, AWS, and AI-powered tooling. Open to Data Analyst, Analytics Engineer, BI Analyst, and Insights Analyst roles.
Core competencies:
SQL query development and database auditing (Metabase, PostgreSQL)
ETL pipeline support and data quality investigation
Python scripting for data cleaning, analysis, and automation
AWS Cloud (Certified Cloud Practitioner + AI Practitioner)
Business Intelligence and stakeholder reporting
Prompt engineering and AI-assisted workflow automation (Claude, Anthropic)
Campaign data analysis in Out-of-Home (OOH) advertising
Cross-functional communication between Engineering and non-technical teams
Industries: AdTech, OOH Advertising Measurement, SaaS, Operations, Supply Chain
Education
Master of Data Science | Western Sydney University | 2022 – 2024
Focus: Artificial Intelligence, machine learning, predictive analytics, statistical methods, big data and database systems
High Distinction in Predictive Analytics; Distinctions in Big Data, Advanced Statistical Methods, Systems Analysis and Database Management, and Postgraduate Project A
WSI Postgraduate Multi-Year Scholarship recipient
Bachelor of Industrial Engineering | Universidad Distrital Francisco José de Caldas, Bogotá | 2009 – 2015
Focus: logistics, supply chain optimisation and quantitative analysis
Thesis: logistics cost identification methodology (ABC/TDABC) for Colombia’s fruit supply chain
Advanced Diploma of Project Management | Academies Australasia, Sydney | 2017 – 2018
Professional Year Program | Performance Education, Sydney | 2025 – 2026
Certifications
AWS Certified AI & ML Practitioner (2026)
AWS Certified Cloud Practitioner (2025)
IBM Data Analyst Professional Certificate
