Experience
Faraday, Senior Data Scientist
Nov 2021 – Present
I serve a pivotal role at Faraday at the intersection of data science and computer engineering, focusing on developing machine learning algorithms and deploying them as robust, scalable production systems.
Key Projects and Responsibilities
- Propensity Modeling System: Lead the development and maintenance of Faraday’s proprietary propensity modeling system.
- Bias Detection and Mitigation: Developed Faraday’s first bias detection and mitigation algorithms, advancing fairness in AI practices.
- Recommender Models: Designed Faraday’s first recommendation infrastructure to improve user experience and business outcomes.
- Client Collaboration: Partnered with clients and build tailored propensity, personas, and recommender models.
- Product Development: Served as chair of our product development committee, guiding the integration of data science into Faraday’s products.
Skills: Python · SQL · Google BigQuery · Machine Learning · GitHub · PostgreSQL · Statistical Research · AI Fairness · Recommender Systems
Navigate360, Data Scientist
Jan 2021 – Oct 2021
At Navigate360, I oversaw the lifecycle of data science models, including research, development, containerization, and deployment on AWS.
Key Projects
- Alert Detection Classifier: Built a model to classify online content and alert clients about potential harm or threats.
- US Student Sentiment Model: Developed a model to analyze student sentiment (happiness, fear, anger, harm) across the U.S.
- Email Sentiment Model: Created a model to quantify happiness and distress in client email content.
- Trending Topics Model: Built a clustering model for identifying and naming trending topics in online content.
- Pattern Detection Model: Designed a hybrid time-series and NLP model to detect threats and self-harm signals in online communications.
Skills: Python · AWS · Deep Learning · Natural Language Processing · SQL
Social Sentinel, Inc., Data Scientist
Oct 2020 – Oct 2021
Social Sentinel was acquired by Navigate360 in 2020. My work at Social Sentinel involved developing models for analyzing and understanding online content, including safety-related patterns and trends.
Key Contributions
- Developed safety-focused machine learning models to analyze social media and other online content.
- Collaborated on Natural Language Processing (NLP) projects to prevent harm proactively.
Skills: Python · AWS · Deep Learning · Natural Language Processing · SQL
Jensen Hughes, Lead Engineer
Jun 2013 – Oct 2020
Most of my work at Jensen Hughes involved performing statistical risk analysis for nuclear power plants. Due to the technical nature of the work and the relative niche of the industry, we often had to develop our own tools and software. In addition, I co-founded the Data Automation and Machine Learning Team and led projects to improve engineering efficiency through automation and predictive modeling.
Key Projects
- Seismic Data Processing Software: Designed and developed tools for seismic data analysis.
- Predictive Maintenance Database: Built SQL-driven solutions for power plant equipment optimization.
- Piping Analysis Application: Led development of a .NET-based tool for pipeline system assessments.
Skills: SQL · Python · VBA · .NET