With the wealth of data being generated every minute, I'm interested in telling predictive stories through data. I am an aspiring data scientist with the desire to review, construct, and/or analyze renewable energy data models.I have six years of project management experience with five being in the renewable energy industry (Solar Project Management, Energy Production Monitoring, Interconnection (NEM), and Installation). I have knowledge and an understanding of qualitative analytical techniques related to the energy industry including: energy markets and trading, renewable energy strategies, well-to-wheels analysis, energy efficiency.Adjectives supervisors, colleagues, and customers have used to describe me: tenacious, flexible, predictive, has great communication, hard-workingBachelor of Environmental Science, Concentration in Energy. Multiple data science certificates and courses taken in object-oriented programming languages (R, Python , C++)Experienced at various software programs including: PowerBI, 360Facilities, Google GUTS, SalesForce, R, C++, Python, Power One: Aurora Vision, SolarEdge Monitoring, MYSTAT, Microsoft Office Suite, PipelineDeals, Nutshell
Listed skills include Renewable Energy, Solar Energy, Environmental Awareness, Microsoft Word, and 24 others.