Claudia van Dijk

About me: I discovered my passion for AI technology while working with data for a Natural Language Processing project using Case-Based Reasoning. It allowed investors to query data in their own words. I remain interested in getting tech to understand people rather than expecting people to understand tech. Over time I’ve expanded my skillset in supporting machine learning applications. I have a background in software engineering, building pipelines for ETL and model training, and implementing REST APIs and supporting databases. I also have an interest closing the ML feedback by helping domain experts to improve training data. • Data wrangling and start to end pipeline development for training and evaluating machine learning models, integrating UNIX scripts, s3, Python, Pandas, Tableau • Skill growth in MLOps: experiment tracking with MLFlow, orchestration with Mage AI, deployment with Flask, monitoring with Evidently, containerization with Docker, unit and integration testing with pytest, and deployment to cloud on AWS EC2 & S3 • Data analysis & visualization using Python, Pandas, Plotly, Tableau, Javascript, HTML/CSS • REST APIs & NoSQL DB development for a web application supporting (human) management of training data, using Python, NodeJS, Mongo • Strong cross-functional experience brought to every project • Background in Software Development and Education

Total Score: 71

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