Daniel Cebula

Background

About Daniel Cebula

Multidisciplinary Data Scientist with a passion for condensing large data to a simple to understand story through data visualizations. Adept at working independently as well as collaborating with teams across multiple elements of an organization. Proficient at breaking down concepts in layman terms. Brings experience obtained through multiple establishments to streamline data analysis and reporting. Prepared to excel in solving complex problems. Continuous education of new technologies and methods independently and through widely available materials. Graduated from University of Toronto (UofT) with a Bachelor of Science (B.Sc.) degree and from University of Waterloo (UofW) with a Master of Science (M.Sc.) degree. I have received with a certificate of completion from UofT School of Continuing Studies (SCS) in the Data Analytics Bootcamp. I have gained various employment opportunities and acquired a unique educational background which I believe will benefit any employer. These work experiences have given me a unique outlook and I have excelled in no matter what position I have found myself in. When I am not studying or working I like to come home to my family and pets who are sometimes at odds with one another. I love to learn and I believe I will be a great job candidate for companies. Specialties: Data Science, Analysis and Visualization Programming Languages- VBA, Python, SQL, JavaScript, HTML, CSS and LabVIEW Programming Technologies- Microsoft Office, Markdown, SciPy, Pandas, NumPy, Matplotlib, APIs, Flask, Web Scraping, D3.js, Plot.ly.js, Leaflet, Mapbox, PostgreSQL, MongoDB, Tableau, Scikit-Learn and Keras-Tensorflow Microsoft Office (Word, Excel, PowerPoint, Outlook)