Data Analytics and Machine Learning

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  We developed a tailored cost optimization tool that ensures necessary structural design requirements while minimizing the usage of steel and concrete when using novel prefabricated concrete walls. We ensured the tool's reliability, efficiency, and accuracy by testing it in collaboration with highly experienced structural engineers. The client achieves a considerable competitive edge by offering distinctive, high-quality concrete finishes at an affordable price, creating a notable impact within their industry. 

  Our team was hired to undertake an exciting project aimed at streamlining data collection and analysis for Kleantab. Our task was to automate the process of gathering and analyzing sales and inventory data from platforms such as Google Analytics, Avify, and WhatsApp chatbots. By integrating these sources, we were able to increase efficiency and obtain valuable insights to support data-driven decision-making. 

  Establishment Labs has hired our team to develop a clinical decision support system. This project focuses on optimizing healthcare decision-making processes by implementing innovative machine learning algorithms tailored to the requirements of Establishment Labs. We ensure the effectiveness of our decision models through rigorous evaluation and validation processes, while strictly maintaining confidentiality and compliance with industry standards.