"You can build an initial model, but you have to keep updating it. You have to continually operate it, doing things incrementally rather than trying to solve the whole problem in one go. One of the benefits is that we have a good framework for building things incrementally." - Hana LeeMachine learning is only as good as the humans who create the program. Even machines have biases. Hana Lee is a Principal Software Crafter at 8th Light. Before joining the team, she was immersed in academia and has a unique take on tech.In our conversation today, Hana discusses her life in academia, the case for creating cross-functional teams, and how to frame data problems for machine learning success. Listen to learn about her process.05:53 - Genomics to Software07:07 - 8th Light Apprenticeship Model08:01 - Reproducibility 09:40 - data analysis vs. data science vs. data engineering13:58 - Cross-Functional Teams 15:54 - Work Collaboratively from the Beginning 20:33 - Probing the Model23:56 - Machine Learning Features25:52 - Frame the Problem in a Realistic Way30:35 - Analysis Paralysis32:51 - Translating ML to Business Terms36:40 - Machine Learning Bias39:59 - Get in touch with Hana43:14 - Final Thoughts with Thomas and JeromeContext Links: The Failure of Big Data85% of Big Data Projects Fail87% of Projects Never Make it into Production Hana Lee completed a postdoctoral fellowship at the University of Chicago, where she studied the genomics of host-pathogen interactions. She holds a Ph.D. in molecular biology at UC Berkeley, an AB from Harvard University in biochemical sciences, and an AWS certification as a Solutions Architect Associate.Now at 8th Light, Hana is a Principal Software Crafter where she’s currently leading data engineering work with a global reinsurance client to take prototype machine learning models that predict insurance risk and turn them into production-ready, scalable services. Her system is responsible for the automated data ingestion and feature engineering pipeline, delivering real-time predictions, continually validating the model’s performance, and generating reports with interactive visualizations so that non-technical stakeholders can make informed decisions about the model’s performance. Twitter: @lee_hn LinkedIn: hanalee07Thomas Countz is a Senior Software Crafter at 8th Light where he works with a variety of ambitious teams on a variety of ambitious projects. A true curious nerd at heart, Thomas digs into everything from robotics and cider making to bouldering and Shakespeare’s comedies. To hear even more about Thomas, you can follow him on Twitter at @thomascountz and visit his blog at https://thomascountz.com.Jerome Goodrich is an adoring husband, new dog dad, and all-around curious explorer. Through his work as a Principal Software Crafter at 8th Light, Jerome leads amazing software teams to design and develop thoughtful solutions to complex problems. He loves pairing strenuous hikes with deep conversations and is always trying to see things clearly and...

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