Data Scientist
2018 - 2019One Concern- Researched and implemented a novel machine learning algorithm for flood inundation.
- Developed a pipeline for land-use classification from satellite imagery.
- Built a ground-truth dataset of historical flood events using satellite imagery.
Technologies: Docker, GDAL, TensorFlowData Scientist
2016 - 2018Retail Solutions- Developed a sales forecasting algorithm incorporating unstructured promotional and sporting event data, as a result, a large customer renewed their contract. The forecasting was done in R, with Python for the ML components, and SQL for ETL.
- Carried out a performance audit of a critical R machine learning pipeline which reduced server usage by 60%, enabling the employer to meet SLAs that they were previously failing.
- Performed ad-hoc investigations and presented results to customers, querying multi-petabyte Vertica SQL and Spark clusters for relevant data.
- Built ETL pipelines for messy data, using Python and SQL.
- Produced interactive visualizations to help clients understand the parameters of their advertising campaigns, with d3.js.
Technologies: Microsoft SQL Server, XGBoost, Vertica, RSoftware Engineer
2015 - 2016MetOcean Solutions- Led a rewrite of the flagship product: a web application to visualize oceanographic forecasts. The new application is currently being used by all customers.
- Designed, built, and deployed a production REST API to interpolate raw weather data.
Technologies: NumPy, Flask, React, D3.js
Andrew Nisbet
Software Developer in Menlo Park, CA, United States
Member since July 30, 2019
Andrew is a developer with four years of experience developing production machine learning pipelines and efficiently communicating results. He also has an MSc in mathematics with a thesis in deep learning. Andrew is very knowledgable about his field and is quick to gather information and communicate to deliver the product on time and within budget.
Andrew is now available for hire
Portfolio
- One ConcernDocker, GDAL, TensorFlow
- Retail SolutionsMicrosoft SQL Server, XGBoost, Vertica, R
- MetOcean SolutionsNumPy, Flask, React, D3.js
Availability
Part-time
Preferred Environment
Git, Linux
The most amazing...
...thing I've made was an ML pipeline for classifying vegetation from satellite imagery to generate wildfire simulations.
Employment
Experience
- Python Package for Sequence Alignment (Development)https://github.com/ajnisbet/paired
I worked on the pairwise alignment of similar but non-identical sequences.
- REST API for Elevation Data (Development)https://altitude.andrewnisbet.nz
Given a latitude and a longitude point, you can find the elevation with this tool.
Skills
Languages
Python, R, SQL, JavaScriptLibraries/APIs
NumPy, Pandas, Sklearn, GDAL, Keras, TensorFlow, D3.js, XGBoost, ReactParadigms
Data Science, Agile Software DevelopmentOther
Machine Learning, Data Analysis, Data Scraping, Remote Sensing, Satellite ImagesFrameworks
Flask, SparkPlatforms
Google Cloud Platform (GCP), Google App Engine, Amazon Web Services (AWS), Linux, Docker, DatabricksTools
Git, GISStorage
Microsoft SQL Server, PostgreSQL, Vertica
Education
- Master's degree in Applied Mathematics2015 - 2017Chalmers Technical University - Gothenburg, Sweden
- Bachelor's degree in Psychology2012 - 2015Canterbury University - Christchurch, New Zealand
- Bachelor's degree in Mechanical Engineering2010 - 2013Canterbury University - Christchurch, New Zealand
Certifications
- GRE: 170 Quantitative, 166 Verbal, 4 WrittenJANUARY 2014 - PRESENTETS GRE
