Welcome! My name is Sasha Lyuber, and I am a seasoned data scientist and machine learning developer with a background in electrical and controls engineering. My focus in recent years has been on applying data science and machine learning to real-world problems in the non-profit, financial, and oil and gas sectors.I am proficient with commonly used data science development tools and standards, and am comfortable adapting my work to fit within a client's environment. My development experience primarily focuses on working with Python, SQL, cloud computing (GCP & Azure), along with popular dashboarding softwares and basic data engineering tools. I believe in taking a human-centered approach to my work, ensuring that solutions not only meet the organization's needs but also integrate easily into existing systems. I value open and ongoing communication with subject matter experts and strive to develop individual components that maximize value creation at each stage of the project. This approach requires a careful and practical scoping process that begins with a transparent understanding of the current state and the resources available for development and maintenance.In both my work and studies, I've found that building authentic connections with others has proven to be my greatest strength. With this in mind, if you're looking for some data related conversation over coffee, please feel free to reach out!
Listed skills include Microsoft Excel, C++, Visual Studio, Python, and 17 others.