Connecting Industry Problems With Machine Learning Startup Innovations
October 26, 2016
DoubleTree Downtown Toronto
Ozge is a Data Solution Architect at Microsoft. She is focused on FinTech and building analytics solutions for some of the biggest Financial Services companies in Canada. She works with the VP Analytics, CTOs, Director of Analytics and Data Scientists directly to help and advise them building data analytics solutions to increase their customer satisfaction, revenue, efficiency and optimize their operations to stay ahead of the curve in today’s competitive market.
Ozge has experience as an entrepreneur with an academic background. Prior to joining Microsoft, she was the co-founder and CEO of topLog, a start up focused on predictive data analysis based on unstructured log data. She started topLog in 2013 while she was working towards her PhD degree in Computer Science at Dalhousie University. Ozge is a life-long learner and problem solver. Her experience with switching from academia to entrepreneurship has taught her how to solve real world problems by applying her deep academic knowledge.
Her fascination with Machine Learning, especially with Neural Networks started during her undergraduate years while working on her honor’s thesis. Since then, she has worked on several different projects on Machine Learning and published peer-reviewed papers. Some of the areas she worked on are Intrusion Detection using Neural Networks and Unstructured Text Categorization using clustering and classification techniques.
Ozge also works on increasing the number of females in technology and supporting them by being actively involved in Dalhousie Women in Technology Society, and CanWIT National Advisory Council where her achievements have been recognized with many awards in the past years including Google Anita Borg Scholarship. She was selected to be one of the top 20 females in Canada to attend the TechWomen Canada in 2015 which was held in the Silicon Valley. She is also one of the winners of the Root Award of Faculty of Computer Science at Dalhousie University, which is described as “given only when a student has reached an incredible level of accomplishment that they leave a lasting impression on the Faculty and the Society for years to come”.
While not working, volunteering or reading one of the few books she has on the go, she enjoys her family time with her husband Jesse and their dog Tyson. Her favourite activities are cooking, reading and kickboxing. She would like to believe that she can be professional cook and an F1 driver one day.
Data Solution Architect, Financial Services