Oliver Laslett
Verified Expert in Engineering
Machine Learning Developer
Oliver is a full-stack data scientist with experience delivering end-to-end data products using NLP, Bayesian methods, and predictive analytics. Oliver helped scale an AI Insuretech from seed round to recent Series B at £25 million. He has experience consulting with a wide range of enterprise clients in insurance, financial services, aerospace, and defense.
Portfolio
Experience
Availability
Preferred Environment
Git, Visual Studio Code (VS Code), Vim Text Editor, MacOS, Linux
The most amazing...
...data discovery I have made is computing the distance between the walls of every set of neighboring buildings in the whole UK.
Work Experience
Data Scientist
Freelance
- Developed a new open-source BI tool for the modern data stack - github.com/lightdash/lightdash.
- Implemented product analytics tracking, data transformation, and dashboards for leading an edutech startup in the UK. In charge of statistics that were reported in national news and to the cabinet office.
- Designed and implemented a completely new credit scoring system for a large African bank responsible for millions of dollars in personal loans.
Machine Learning Scientist
Cytora
- Built NLP and geospatial data pipelines to power machine learning for risk analytics products covering 23 million buildings in the UK.
- Designed an explainable AI toolbox to increase customer adoption of predictive models, now generating $1.5+ million ARR.
- Delivered machine-learning predictions as a suite of 15 APIs built on Kubernetes.
- Managed crowd-sourced labeling operation with >100 labelers. Built internal monitoring platform to measure labeler quality.
- Built a backtesting framework to measure the performance of risk pricing models responsible for >$500 million in revenue.
Experience
Lightdash - Open Source BI
http://GitHub.com/lightdash/lightdashDetecting Clickbait in News Articles
https://www.youtube.com/watch?v=NfaHA17CxrI&t=1sBayesian Model of Fairness, Bias-Detection.
https://www.youtube.com/watch?v=tX5YDf42DnY&t=4sJupyter Notebook Testing Framework (nbval)
https://github.com/computationalmodelling/nbvalSkills
Languages
Python 2, Python 3, Python, JavaScript, C, SQL, JavaScript 6, TypeScript, Go, C++, C++11
Frameworks
Flask, Spark, Express.js
Libraries/APIs
Flask-RESTful, SpaCy, NumPy, Pandas, React, Scikit-learn, PyMC, TensorFlow, Node.js
Tools
BigQuery, Apache Beam, Seaborn, DataViz, Vim Text Editor, Git, Tableau, Looker
Platforms
Google Cloud Platform (GCP), Linux, MacOS, Amazon Web Services (AWS), Visual Studio Code (VS Code)
Other
Machine Learning, Statistics, Bayesian Statistics, Bayesian Inference & Modeling, Data Analytics, Classification, Regression, Data Mining, Generalized Linear Model (GLM), Support Vector Machines (SVM), Probabilistic Graphical Models, Stochastic Modeling, Stochastic Differential Equations, Google BigQuery, Technical Leadership, Neural Networks, Natural Language Processing (NLP), Data Engineering, Full-stack, Text Mining, Graphical Models, Agile Data Science, Deep Learning, Convolutional Neural Networks (CNN), Analytics, GPT, Generative Pre-trained Transformers (GPT), Scraping, Google Data Studio
Paradigms
Functional Programming, ETL
Storage
Elasticsearch, Databases
Education
Ph.D. in Physics
University of Southampton - UK
Master's Degree in Aerospace Engineering
University of Sheffield - UK
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