Suggestions
Ben Campbell
Data Scientist/Data Engineer
Ben Campbell is a seasoned professional with a rich background in data science and machine learning. He possesses a robust skill set in customer-facing data solution architecture and excels in programming languages like Python, C++, Java, and Javascript. Ben has a strong command over analytical tools such as Spark, MATLAB, and R, coupled with extensive experience in various computational environments, including cloud computing and distributed systems like AWS EC2 and Hadoop. His expertise extends to both relational (e.g., MySQL, MemSQL) and NoSQL (e.g., Cassandra) database management systems, alongside implementing efficient data pipelines using tools like Kafka and Nifi. Ben's educational journey includes studies in Theoretical Neuroscience at The Rockefeller University and a Bachelor of Engineering in Electrical Engineering from Carleton University. He has held key roles at renowned organizations such as H2O.ai, Kinetica DB, and MemSQL, where he contributed significantly as a Solution Architect, Data Scientist, Senior Solution Architect, and Forward Deployed Engineer. Ben's background in quantitative science research, spanning engineering, physics, and neuroscience, equips him with exceptional project management and study design skills, complemented by excellent oral and written communication abilities.