The Good Data Factory
Ali Bouhouch is a seasoned professional with extensive experience in technology and advisory roles across various innovative initiatives. Currently serving as a Council Member for the Retail AI Council, a Board Advisor for AI 2030, and Co-Founder of PURPOSE FRAGRANCE CLUB, Ali is dedicated to harnessing the transformative power of AI while promoting diverse perspectives. As Chief Technology Officer and Digital Strategy Executive at SZENTIA, leadership focuses on creating a technology-enabled circular economy for the beauty industry. Additional roles include Angel Investor at NuFund Venture Group, Advisor at Constructor, and Partner at Acariya Partners, among others. Ali’s educational background includes a Master's in Computer Science from Arizona State University and a Bachelor's in Electrical Engineering from San Diego State University.
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The Good Data Factory
In a world drowning in data and starved for information and actionable insight, The Good Data Factory steps in to fill an ever-increasing skills and capability gap. We serve as a strategic data science partner to our clients, from startups to large corporations, either having an in-house team of data analytics or not, and we help them to effectively shape their business strategies and create a sustainable competitive advantage in the digital and experience economy. Our team of Data Engineers and Data Scientists bring a disciplined approach to the treatment of data through out the Data Science pipeline. They ensure data is available in a purpose-fit format and quality at every stage of the Data Science lifecycle without compromising the integrity of the original raw data corpus. Our Data Scientists are Mathematically grounded with PhDs and Post-Doctoral on-going research in Abstract and Applied Mathematics. They are skilled in multiple modeling approaches and capable of understanding a problem domain, characterize its dimensions of complexity, project it into the appropriate solution space to reduce complexity and surface latent or hidden attributes and patterns leading to simpler and better performing algorithm than the usual brute force approach. We are working with clients from varying industries including Retail, Digital Marketing, Banking, Insurance and Energy. Give us your most challenging Data, Analytics or Data Science problem and let us show you a different way at solving it effectively and efficiently.