Simba Khadder has a decorated history in tech; founding and acting as CEO of Featureform, formerly known as StreamSQL, founded in 2020. Working up from base level engineering roles Khadder has seen tech at every level, giving him a unique perspective and credibility when it comes to speaking on machine learning, data pipelines, and the business processes surrounding projects in that space. A champion of new era tech startups leveraging data and predictive analysis as a service, Khadder has a keen mind for recognizing what spaces or industries that data scientists can benefit from assistance in breaking down the often overwhelming tidal wave of raw data faced.
In this episode of the Winning With Data podcast, Simba Khadder speaks on the importance of feature engineering in the world of machine learning and how it is oftentimes the most important portion of any data science project pipeline. Leveraging his own experience and time spent around the industry, Khadder delves into the emergence of data as a product. Stressing the importance of seeing data as more than something that adds to existing teams but as something that adds value by way of generating insights and optimizing processes. Validating this stance through an explanation on how to quantify how important any given data-centered team is to a company, Khadder doubles down on the importance of end-user experience and how a well resourced data science team can drive that bottom line.