Tory Borsboom-Hanson
Verified Expert in Engineering
Data Scientist and Forecasting Developer
Seattle, WA, United States
Toptal member since October 31, 2022
Tory is a data scientist and forecasting specialist with extensive experience in experimental design, AB testing, and leadership roles. His stack of choice includes Python, SQL, Pandas, PySpark, Hadoop, MLFlow, XGBoost, and Scitkit-learn. Beyond data science and model development, he is an expert at data visualization and reporting, especially to non-technical audiences. He often remarks that "a poorly presented analysis can often be worse than no analysis at all."
Portfolio
Experience
- Python - 6 years
- Scikit-learn - 5 years
- NumPy - 5 years
- SQL - 5 years
- A/B Testing - 5 years
- Pandas - 5 years
- Amazon Web Services (AWS) - 3 years
- PySpark - 1 year
Preferred Environment
Pandas, NumPy, Scikit-learn, XGBoost, A/B Testing, Amazon Web Services (AWS), SQL, Time Series Analysis, Experimental Design, Python
The most amazing...
...tool I've built was a forecasting model currently used to guide customer engagements at a Fortune 100 bank in the US.
Work Experience
Data Science Consultant
Fractal
- Assisted a Fortune 100 company in developing a time‑series forecasting model in Python using XGBoost, capable of guiding customer interactions. The model I developed provided a 9% increase in accuracy over the incumbent solution.
- Performed A/B testing and decision science to develop high‑value business strategies and sales funnels. These strategies resulted in a 6% average increase in profit among the various platforms tested.
- Analyzed large-scale data sets with sizes of over 900 million rows with Spark and Hadoop.
Research Team Lead
MeridaLabs
- Designed experimental procedures for validating the economic viability of fuel-cell technologies. This resulted in the development of a novel high-temperature fuel-cell design.
- Spearheaded the fuel-cell technology branch of the research group. I was in charge of project management, experimental direction, hiring, and people management.
- Guided the research publication strategy for the team I oversaw. In my time here, I managed to publish eight distinct works.
Lead Data Scientist
MeridaLabs
- Invented a means of using time‑series data and machine learning to predict fuel cell failures, reducing downtime and maintenance costs. This is estimated to provide over $1 million in savings over the lifetime of a large-scale fuel cell plant.
- Performed economic modeling to estimate the cost of several varieties of hydrogen infrastructure based on scenario inputs. Using this model to optimize hydrogen infrastructure can result in a 30% cost reduction on the end user price of hydrogen.
- Maintained AWS infrastructure and implemented data modeling of databases for use in a data warehouse. This reduced database size by 40% and doubled the average query speed.
IT Contractor
TBHInnovation
- Deployed IT solutions rapidly to accommodate 100+ users in a strict high-security environment with more than 95% uptime.
- Led teams of more than 15 people for rapid IT deployment projects.
- Coordinated with businesses to determine IT infrastructure and security requirements for deployment at scale.
Experience
Techno-economics of Sub- and Supercritical Water Electrolysis
Point-to-point Transportation: The Economics of Hydrogen Export
Carbon-neutral Fuels: Economic Analysis of Renewable Syngas Pathways via CO2 Electrolysis
Evaluating Classification Models Using Expected Value
Education
Ph.D. in Physical Chemistry
University of Victoria - Victoria, British Columbia, Canada
Bachelor's Degree in Chemistry
University of Victoria - Victoria, British Columbia, Canada
Certifications
Microsoft Azure Data Scientist Associate Test Prep
Coursera
Prepare for DP-100: Data Science on Microsoft Azure Exam
Coursera
Perform Data Science with Azure Databricks
Coursera
Skills
Libraries/APIs
Pandas, Scikit-learn, XGBoost, NumPy, PySpark
Tools
ARIMA, SARIMA, GitHub, MATLAB
Languages
SQL, Python, Python 3
Paradigms
Object-oriented Programming (OOP), Management
Platforms
Amazon Web Services (AWS), Azure
Frameworks
Hadoop
Other
A/B Testing, Time Series Analysis, Experimental Design, Statistics, Experimental Research, Modeling, Data Science, Classification, IT, System Implementation, Forecasting, Machine Learning, Scripting, APIs, Computer Science, Optimization, Process Economics, Value Analysis, Predictive Modeling, Quantitative Finance, Finance, Data Engineering, Business Analysis, Azure Databricks, Deployment, IT Consulting, Research, People Management
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