Former ML engineers are adept at defining and tracking key performance indicators (KPIs). Data-driven decision making empowers them to measure the impact of product changes quantitatively, facilitating continuous improvement and evidence-based validation of product strategies.

Former ML engineers are adept at defining and tracking key performance indicators (KPIs). Data-driven decision making empowers them to measure the impact of product changes quantitatively, facilitating continuous improvement and evidence-based validation of product strategies.

Empowered by Artificial Intelligence and the women in tech community.
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