Data Scientist
Building end-to-end ML pipelines, geospatial models,
and real-time analytics systems with Python, PySpark & SQL.
A selection of data science projects from live dashboards to ML pipelines.
Real-time NZ electricity market dashboard consuming the em6 API — tracks live pricing, generation mix, and demand.
Automated daily scraping pipeline across NZ electronics retailers, ingesting 200+ products at 8pm NZT with trend visualisation.
RAG-powered chatbot over Google & Yelp reviews — answers natural language questions about 100+ Christchurch restaurants.
End-to-end ML pipeline predicting taxi ride duration on 1M+ records, with MLflow experiment tracking and Prefect orchestration.
Classification model identifying at-risk university students using cohort features, achieving strong precision on held-out test data.
Spatial clustering and hotspot analysis on NZ road crash data using GeoPandas, DBSCAN, and interactive Folium maps.
Genre classification and audio similarity recommendation across 1M+ tracks using PySpark and collaborative filtering at scale.
Processing, analysing, and forecasting global precipitation trends using time series modelling and spatial interpolation.
RFM + K-Means pipeline segmenting e-commerce customers into behavioural cohorts to drive targeted marketing strategy.
Power BI dashboard connected to a Redshift + dbt pipeline, tracking NYC taxi KPIs across 500K+ monthly trips.
Interactive Streamlit application combining multiple ML models for predictive healthcare diagnostics with live inference.
I'm Dario Dang, a Data Scientist based in Auckland, NZ with a Master of Applied Data Science from the University of Canterbury. I bring a strong foundation in statistics, machine learning, and software engineering to every project I work on.
My work spans the full data lifecycle from ingesting and transforming raw data to building production-grade ML models, geospatial pipelines, and real-time analytics systems. I care about solutions that are not just accurate, but scalable, reproducible, and interpretable.
I'm actively seeking Data Scientist and Data Analyst opportunities in New Zealand where I can contribute to meaningful, data-driven decisions. I thrive in collaborative environments and enjoy turning complex problems into clear, actionable insights.
Presented a complete end-to-end data science solution to an academic panel as part of the Master of Applied Data Science program, covering data collection, exploratory analysis, ML modelling, and insights communication. Developed skills in research, critical thinking, and presenting complex technical findings to a professional audience.
Led a university basketball team, coordinating training schedules, mentoring teammates, and driving team strategy. Strengthened leadership, communication, and collaborative problem-solving skills under competitive pressure.
I'm currently open to Data Specialist and Analyst roles in New Zealand.
Whether it's a role, a project, or just a chat, feel free to reach out.