Hi, I'm

Candidate Name

Data Analyst · Aspiring Data Scientist

📍 [Tu ubicación], New Zealand · Open to relocation

✅ Eligible to work full-time in NZ — PSWV (full work rights through 2027)

LinkedIn GitHub Email

About

[2–3 párrafos contando tu historia: de dónde vienes, qué te apasiona del mundo de los datos, qué buscas en NZ — esto se reemplaza con tu texto real.]

Dual background: 10+ years applying structured analysis in a previous career, combined with a Master of Applied Data Science completed in New Zealand. I bring analytical rigour together with a genuine curiosity for finding patterns that drive real-world impact.

Currently looking for my first Data Analyst role in NZ. Particularly interested in sectors where data improves decisions that affect people — health, education, sustainability.

Skills

Data & Analytics

Python
pandas
NumPy
SQL
Excel (advanced)
Tableau
Power BI

Machine Learning

scikit-learn
Regression
Classification
Clustering
Feature engineering
Model evaluation

Tools & Workflow

Git & GitHub
Jupyter
VS Code
Linux CLI
Markdown
Notion

Soft Skills

Stakeholder communication
Cross-functional teams
Bilingual (ES/EN)
Mentoring

Featured Projects

A selection of public projects on GitHub. Each one ships with a notebook, a detailed README and clear results.

📊

Customer Churn Prediction

Binary classification model on a real telecom dataset. End-to-end pipeline: cleaning, feature engineering, model comparison (Logistic Regression, Random Forest, XGBoost) and evaluation with ROC-AUC.

Python
scikit-learn
pandas
matplotlib

GitHub Notebook

📈

NZ Housing Market Dashboard

Exploratory analysis of the New Zealand housing market (2018–2024) using public Stats NZ data. Interactive Tableau dashboard with filters by region, property type and year.

Tableau
SQL
Python
Data viz

GitHub Live demo

💬

Sentiment Analysis — NZ Tweets

Sentiment analysis on 50K tweets covering trending topics in New Zealand. NLP preprocessing, comparison between VADER and a custom-trained model, and visualisation of sentiment trends over time.

Python
NLTK
spaCy
scikit-learn

GitHub Article

🛒

Retail Sales Analysis

Sales pattern analysis on a global retail dataset. SQL for extraction, Python for statistical analysis, and data-driven recommendations for inventory optimisation.

SQL
Python
pandas
seaborn

GitHub Notebook

Experience

2025 — Present

Customer Specialist — [Retail Brand], [NZ City]

Customer-facing role with measurable contributions to POS data accuracy and team training. Strengthened bilingual communication and structured problem-solving in a fast-paced retail environment.
2014 — 2024

Senior Practitioner — [Previous Sector], Latin America

10+ years managing structured records and reporting across multidisciplinary teams. Developed strong skills in data integrity, longitudinal record-keeping, statistical interpretation and stakeholder reporting — directly transferable to data analyst work.
2023 — 2024

Volunteer Data Analyst — [Non-profit Organisation]

Pro-bono data work supporting reporting and impact measurement for an NZ-based organisation. Cleaned and structured donor and beneficiary datasets in Python.

Education

Master of Applied Data Science

[New Zealand University] · 2024 – 2025

Coursework: Statistical Learning, Big Data, Data Visualisation, Ethics in AI. Capstone project: [your capstone topic].
Bachelor's Degree

[Latin American University] · 2008 – 2013
TEFL Certification

2022

Get in touch

Open to data analyst roles in New Zealand. Remote, hybrid or on-site.

Email hello@example.com LinkedIn linkedin.com/in/yourname GitHub github.com/yourusername