October 26, 2026
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Louis M

Louis is a seasoned technology executive with over 20+ years of experience in leading and managing teams, building products, and implementing open-source technologies. He is certified in building Crypto currencies applications and has a proven track record of effectively leading teams of over 100+ individuals, including experience leading through a management layer (manager of managers). Louis possesses vital emotional intelligence, allowing him to lead a diverse group of engineers and managers at varying stages of their careers. He has experience leading teams through complex compliance certifications, such as FedRAMP, PCI, SOC2, ISMAP & HIPAA. He has 10+ years of security experience dealing with web systems, Cloud, SaaS, compliance, corp IT, infrastructure, and embedded devices. Louis has a solid understanding of cross-functional engineering organizations and significant experience building diverse and inclusive teams. He has superb communication skills and can articulate a compelling security vision. Most recently, Louis served as the CTO of Metabolicliving, where he led the engineering team to become a high-performing, on-time delivery cross-functional team and collaborated with Executive Leadership to develop & manage product strategy, roadmaps, and technical execution plans. Before that, he served as the CTO of Burnalong, a health and fitness tech startup. He single-handedly built the AWS infrastructure, on-site cross-functional engineering team, remote developers, and QA. He also created an internship program to cultivate new talent and grow the technical organization.

Steps to Prepare Data for Customer Lifetime Value Prediction Model

Steps to Prepare Data for Prediction Model

Louis M027 mins

The Importance of Preparing Data for Prediction Models Before implementing any machine learning model, it is essential to prepare the data, as the quality of data directly affects the performance and accuracy of the model. Data is often messy and unstructured, leading to inaccurate predictions or little insights. Hence, preparing data involves a series of…

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