As an ML Engineer/Data Scientist working at an early-stage startup, I apply my skills and knowledge in data science, software engineering, and machine learning to design and implement innovative solutions that address real-world challenges. I have a Master of Science in Data Science from Duke University, where I developed a strong foundation in data-driven approaches and a passion for the intersection of technology and social good.With experiences in software / ML engineering and data science, I have worked on projects involving natural language processing, data clustering, and cloud computing. Some of my achievements include building NLP categorization models for Policygenius, an online insurance marketplace, and automating the internal server tracking database system for NetApp, a cloud data services provider. I am proficient in Python, Javascript, Django, MySQL, and Amazon Web Services, and I enjoy learning new tools and frameworks to enhance my ML skills and deliver impact.
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VelvetSan Francisco Bay Area
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Ml Engineer / Data ScientistRevere Sep 2023 - PresentSan Francisco , Us•Built document processor system that converts unstructured data into structured data -
Data Scientist, NlpPolicygenius Inc. Aug 2022 - May 2023Topeka, Kansas, Us•Capstone Project with PolicyGenius on building NLP categorization models•Conducted and fine-tuned unsupervised approaches: BERT, LDA, STM and more -
Solutions Engineer, Ai/MlNetapp May 2022 - Aug 2022San Jose, California, Us•Performed data clustering analysis using ML models on install base servers data to identify usage demographics across the US•Automated the internal server tracking database system to allow enterprise clients report issues, including an automated workflow process data tool -
Software EngineerPerlego Dec 2019 - Jul 2021Chancery Lane, London, Gb•Implemented serverless design and optimisation practices on a distributed system•Restructured backend into microservice architecture using AWS Lambda in-house framework, with 95% code coverage•Incorporated Next.js to a hybrid client-side application with React using Nginx and enabled Redis caching across the application to improve server-related optimization•Executed page-related optimizations and crawl-related issues as part of SEO goals, improving organic growth -
Management TraineeJardine Matheson Jun 2017 - Jun 2019Hong Kong, Central, Hk -
Summer AnalystHsbc Jul 2014 - Sep 2014London, Gb -
Summer AnalystRoyal Bank Of Scotland Business Jul 2013 - Aug 2013Edinburgh, Scotland, Gb -
AnalystJ.P. Morgan Jun 2012 - Aug 2012New York, Ny, Us
Michelle Van Skills
Michelle Van Education Details
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University Of OxfordMaterials Science -
Duke UniversityData Science
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University Of OxfordMaterials Science
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Wycombe Abbey
Frequently Asked Questions about Michelle Van
What company does Michelle Van work for?
Michelle Van works for Velvet
What is Michelle Van's role at the current company?
Michelle Van's current role is ML Engineer/ Data Scientist.
What schools did Michelle Van attend?
Michelle Van attended University Of Oxford, Duke University, University Of Oxford, Wycombe Abbey.
What skills is Michelle Van known for?
Michelle Van has skills like R, Distributed Systems, Git, Amazon Web Services, Data Science, Algorithms, Continuous Integration And Continuous Delivery, Sql Azure, Node.js, Ruby, Microsoft Azure, Nginx.
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