Chris Smith Clarke

Dr Chris Smith-Clarke Bristol, UK +44 --linkedin.com/in/chris-smith-clarke Summary Data Scientist/Machine Learning Engineer with 7 years of experience building and deploying machine learning models and pipelines. Expertise in a variety of machine learning and deep learning techniques, strong software engineering and Python programming skills, and proficient at working with cloud platforms such as GCP and AWS. Led a broad range of projects, including predictive maintenance, reinforcement learning, self- supervised computer vision, natural language processing and geospatial ML, taking them through the entire project life cycle, from discovery to deployment. Key Skills Machine Learning • Deep Learning • Data Wrangling • Software Development • Data Pipelines • MLOps • Time Series Forecasting • Computer Vision • Natural Language Processing • GIS • Data Visualisation • CI/CD • API Development Languages/Tools Python • SQL • PyTorch • Tensorflow • (Geo)Pandas • PySpark • MLflow • DVC • Streamlit • Flask • FastAPI • Git • Github • AWS • GCP • PostgreSQL/GIS • Docker • Airtable • Webflow Experience June 2023 - PRESENT Freelance - Data Science, ML, Python Backend ● Built automated web scraping pipeline with Scrapy and OpenAI GPT3.5 integration. ● Developed API using FastAPI and SQLModel, syncing data between AWS RDS, Airtable and Webflow CMS. ● Designed service architecture and deployed using AWS Fargate, Lambda, API Gateway and Github Actions for CI/CD. August 2019 - June 2023 Decision Lab, London (remote) - Principal Data Scientist ● Drove the development of new capabilities within the data science team, including reinforcement learning, self-supervised learning and algorithmic data labelling. ● Responsible for the delivery of key projects in several domains, including predictive maintenance, resource optimisation and geospatial remote sensing. ● Mentored junior team members. ● Wrote winning technical proposals. 2 October 2016 - August 2019 Decision Lab, London (remote) - Senior Data Scientist ● Helped build the nascent data science capability within the company and grow the data science team. ● Lead on data science and machine learning projects including time series forecasting and reinforcement learning. ● Key contributor to technical proposals. June 2015 - April 2023 FHintuition, Bristol (remote) - Founding Full Stack Developer ● Designed, developed and managed an award winning employee engagement web and mobile app, which was deployed in several NHS Trusts. ● Stack: Heroku, PostgreSQL, SQ Alchemy, Flask, JQuery, Bootstrap, React Native. September 2011 - June 2013 University College London, London - Research Assistant ● Mining mobility patterns for personalised transport information services, modeling passenger flows on public transport systems and investigating the relationship between geography, mobility and socio-economic deprivation. ● Implemented Point of Interest recommender system using Tomcat, PostgreSQL and Mahout, to be included as part of the iTour software platform. Education- University College London - Doctor of Philosophy - Computer Science ● Thesis: "Predicting Poverty Using Mobile Network Data" - using network analysis, GIS and ML to predict poverty levels using aggregated mobile phone call data. ● Received PhD Scholarship from Intel Collaborative Research Institute for Sustainable and Connected Cities and Google Europe Doctoral Fellowship in Data Mining. ● Internship at Telefonica, Madrid. ● Published original research at top-tier conferences, WWW, CHI, CSCW and WSDM. ● Invited speaker at the United Nations Population Fund Big Data Bootcamp in Barcelona. - University College London - Master of Science (Distinction) - Computer Science ● Thesis: “Mining Public Transport Data for Personalised Travel Time Prediction” - Cardiff University- Bachelor of Arts (First Class) - Philosophy ● Recipient of the 2009 Oliver de Selincourt Memorial Prize for the highest grade in Philosophy.