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Senior Manager, Advanced Analytics R&D at SAS
I am mathematician and programmer with interests in the field of data mining/machine learning. I'm deeply curious and enjoy getting lost in code to solve a technical problem, but also taking the care and time to understand high level problems and challenges. I am most fulfilled when helping others, as a peer, as a mentor, as a leader, and leaving a positive impact on others is very important to me. I believe that aligning my team members' interests with my employer's goals is one of the best ways that I can serve both my employer and the people for whom I am responsible. My hobbies include cooking and baking for others, playing sports, and video games.
North Carolina State University
Master of Computer Science (MCS), Computer Science
January 1, 2008 – January 1, 2010
North Carolina State University
Doctor of Philosophy (PhD), Mathematics
January 1, 2008 – January 1, 2014
North Carolina State University
Bachelor of Science (BS), Mathematics & Physics
January 1, 2004 – January 1, 2008
SAS
Senior Manager, Advanced Analytics R&D
January 1, 2020 – Present
Cary, NC
SAS
Sr. Machine Learning Developer
April 1, 2017 – January 1, 2020
Cary, NC
SAS
Research Statistician Developer
April 1, 2015 – March 1, 2017
Cary, NC
SAS
Sr. Associate Research Statistician Developer
January 1, 2014 – March 1, 2015
Cary, NC
SAS
Student Intern
May 1, 2012 – December 1, 2013
Cary, NC
North Carolina State University
Graduate Teaching Assistant
August 1, 2008 – December 1, 2013
Raleigh, NC
Cultural Fit Analysis
The candidate's extensive background in advanced analytics and machine learning R&D at SAS aligns well with a data-driven culture. Their experience in leading teams and focusing on responsible AI and interpretable machine learning suggests an ethical and collaborative approach. However, the target role is 'Data Analyst', which might be a step down from their current Senior Manager, Advanced Analytics R&D role. While they possess the technical skills, the role alignment needs further clarification to ensure cultural fit and long-term engagement, as their experience leans more towards research and development of ML algorithms rather than traditional data analysis.
Soft Skills & Operational Fit
The candidate's progression to a Senior Manager role at SAS indicates strong leadership, project management, and team collaboration skills. Their academic background and continuous R&D focus suggest a strong problem-solving aptitude and a commitment to continuous learning. The long tenure at a single company (SAS) implies loyalty and the ability to adapt and grow within an organization.