Kenneth Conroy, Ph.D. is a Director of Data Science at Glia at Glia. He possess expertise in java, python, machine learning, programming, algorithms and 37 more skills. He is proficient in French. Colleagues describe him as "Ken is an example of an ideal colleague: intelligent, determined, reliable and a pleasure to be around. An outstanding data scientist, Ken is incredibly knowledgeable and talented in his field and an inspiration to the team. Through his efforts, we were able to advance our company into new fields and capacities previously not possible. He also has a natural ability to lead multidisciplinary teams and effectively share his knowledge, which are two key qualities that I feel would make Ken an asset to any team.", "Ken is a savvy tech and product development manager, an outstanding data scientist, an artist of his craft and overall one of the most impressive and inspiring colleagues I’ve had the pleasure of working with. I deeply admire and respect Ken’s expertise in machine learning and artificial intelligence, his sharp ability to roadmap tech features through quickly evolving BD and commercialisation priorities, and his ability to lead multidisciplinary teams on internal and external projects. To know Ken is to always be in awe of how effortlessly and enthusiastically he pushes the boundaries of what’s possible in automation, scaling and recommendation tech. I am also truly grateful for how generously Ken shared his knowledge and educated everyone on the team on so many aspects of his work.", and "Ken is such an inspiration to work with; he challenges and elevates my work to new heights. His passion and dedication to building a world class product that's intelligent and designed with intention speaks volumes of his craft and expertise. Without a doubt, Ken is a thought leader in the technological sphere who brings innovative thinking and immense value to any company he works with. Without his contributions to VIVA and the plethora of products we've worked on, we would not have been able to secure $1.2 million in funding or have cutting edge intellectual property in the digital media space."
Listed skills include Java, Python, Machine Learning, Programming, and 38 others.