Conrad Wilkinson Schwarz
About Conrad Wilkinson Schwarz
Conrad Wilkinson Schwarz is the Chief Risk Officer and Co-Founder of Baubap, with a background in AI research and project development.
Current Title and Role
Conrad Wilkinson Schwarz is currently the Chief Risk Officer and Co-Founder at Baubap, based in the Mexico City Area, Mexico. In his role, he is responsible for building and maintaining the Machine Learning and Data Science projects necessary for Baubap's operations and growth. Conrad has established data schemas, designed new pipelines, and sourced new data points from both public and private data sources. He has crafted new features available in real-time, implemented a feature catalog with feature analytics, and scaled an A/B Testing suite for decision-making. Conrad also monitors ML models through performance KPIs, extracts user insights using descriptive statistics and clustering methods, and queries databases for key information.
Previous Experience
Prior to his current position, Conrad Wilkinson Schwarz worked at Omdena as an AI Researcher in the Mars Anomaly Detection Project for four months in 2019 in the Mexico City Area, Mexico. He also worked at GitHub on projects and tutorials from 2018 to 2019, spending nine months in the Mexico City Area, Mexico. Additionally, Conrad founded Instanteach.com and managed it from 2018 to 2020. His experience across these varied roles has equipped him with a broad spectrum of skills in AI research, project management, and educational technology.
Education and Expertise
Conrad Wilkinson Schwarz studied Economics at the University of Sussex, where he earned his Bachelor's degree over a three-year period from 2012 to 2015. His educational background in economics has contributed to his expertise in data analysis, predictive modeling, and statistical methodology. In his professional practice, Conrad commonly uses tools and libraries such as Python, PHP, MySQL, Pandas, Jupyter Notebooks, Numpy, Scipy, Sci-Kit Learn, Xgboost, Catboost, BayesianOptimization, Tensorflow, Matplotlib, M2Cgen, Shap, and Lifelines.
Specialized Projects and Initiatives
At Baubap, Conrad Wilkinson Schwarz has developed several specialized projects and initiatives. He has created and maintained Business Intelligence dashboards, implemented fraud and anomaly detection models, and carried out customer churn prediction using survival analysis methodology. Conrad has also deployed Convolutional Neural Networks for image processing and utilized transfer learning and transformer architecture for text classification. He creates clear model interpretability to ensure each individual prediction is explainable and maintains these models through monthly releases. His work frequently involves researching and experimenting with new approaches in Machine Learning.