Women with a data science background possess strong analytical and statistical skills. Leveraging these strengths allows them to approach machine learning (ML) problems methodically, ensuring robust model development. By emphasizing their ability to preprocess data, engineer features, and validate models, they can excel in ML engineering roles focused on building scalable and reliable solutions.
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