Big data is a paradigm of computing where large quantities of data is used to fuel software applications, analytic tools, and machine learning algorithms. This vast quantity of data is enabled by modern data gathering solutions, primarily connected to cloud computing, that can collect information from users on platforms from around the world.Businesses in different industries collect terabytes of data from users who use their services. For example, insurance companies collect data on customer claims, accident statistics, weather patterns, traffic conditions, and other forms of behavior to empower more informed and accurate decision-making.The challenge here is that the human mind cannot encompass or process this vast sea of data, much less make any meaningful sense of it. However, new developments in cloud applications and processing have driven analytics to turn these vast quantities of data into actionable information.This is where I come in to manage this flow of information. I use machine learning (ML) and artificial intelligence (AI) to help organizations make considerable strides in theory, development, and innovation. I make it possible for public and private organizations to gather, process, and compute big data in ways that allow applied machine learning algorithms to function in ways they never thought possible.To do this, I've developed advanced skills in:• Designing sophisticated algorithms, visualization techniques, and complex experiments that involve learning from public or private data such as atmospheric, geospatial and remote sensing dataset to create predictive models.• Data modeling and analysis using advanced analytics and data science techniques to build model driven decision-making systems with leading edge technologies and to develop data-backed solutions that innovate for the future.• Communicating the business insights and translating the forecasting data as well as product management concerns into step-by-step procedures that can be achieved using statistical modeling and machine learning methodologies.• End to end project management and communication of actionable insights, often to a non-technical audience, while collaborating with multi-disciplinary teams and tech partners to accomplish projects on time and on budget.• Utilizing statistical data analytics methods and machine learning models (TensorFlow, Scikit-learn) as well as programming languages and tools such as: Python, Fortran, SQL, C++, Bash, MATLAB, etc.Contact me if you’re looking for someone to empower your advanced research and computation needs.