Graduate-level Data Analyst with experience in data analysis, statistical modeling, and energy systems. Skilled in Python, R, SQL, and Power BI for analyzing power plant data, transformer oil monitoring, and operational efficiency. Experienced in data mining, automation, and reporting to improve energy efficiency and environmental impact assessments. Adept at resource adequacy studies, cost-benefit analysis, and energy policy evaluation, using data-driven insights to enhance power system reliability and decision-making.
Programming & Data Analytics: Python, R, SQL, Power BI
Statistical & Machine Learning Methods: Data mining, regression analysis, predictive modeling, time-series forecasting
Energy Systems Analysis: Hydroelectric power plant data analysis
Data Management & Automation: Database querying (SQL), process automation, dashboard development
Industry Knowledge: Power markets, renewable energy, environmental stewardship
Communication & Collaboration: Report writing, data visualization, stakeholder engagement, teamwork
Young Professional Awards for the NGN (Next Generation Network) Project by CIGRE (International Council on Large Electric Systems), 07/01/22
Sustainability 2023, Scenarios for reducing Greenhouse Gas Emissions from Food Procurement for Public School Kitchens in Copenhagen