After completing graduate study (ms) concentrated on time series estimation in finance department; my Phd research focuses on predictive modeling in energy markets. As a part of my thesis study, i developed a deep ensemble model for probabilistic load forecasting which is already running in production as decision support service in three electricity distribution region in Turkey. My works on energy disaggregation, outage forecasting, solar and wind energy forecasting are in progress. I aim to build a broad framework for forecasting noisy energy time series data. I also create both theoretical and application (Python) tutorials for both machine learning and deep learning models. Lastly, my academic works to be published in journals are either in progress or in editing process for publication.