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Manager, Machine Learning @ Phyn
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I have research interests and experience in fields of Machine Learning, Deep Learning (CNN, RNN), Signal and Image processing/Computer Vision, Wearable Sensors, Physical Activity Monitoring, Embedded Systems. I have experience with exploratory data analysis and predictive model development for real-world problems.
The University of Alabama
Doctor of Philosophy (Ph.D.), Electrical and Electronics Engineering
January 1, 2013 – January 1, 2016
The University of Alabama
Master's degree, Electrical and Electronics Engineering
January 1, 2011 – January 1, 2013
Phyn
Manager, Machine Learning
February 1, 2022 – Present
Phyn
Sr. Machine Learning Engineer
January 1, 2017 – April 1, 2022
University of Alabama
Graduate Teaching Assistant
August 1, 2014 – December 1, 2014
University of Alabama
Graduate Teaching Assistant
August 1, 2013 – December 1, 2013
University of Alabama
Graduate Research Assistant
August 1, 2011 – Present
Deep Learning 101
Big Data University
June 24, 2026 – Present
Machine Learning with Python
Big Data University
June 24, 2026 – Present
Data Science and Analytics Career Paths and Certifications
June 24, 2026 – Present
edX Honor Code Certificate for Introduction to R
edX
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards Machine Learning Engineering and academic research, with a strong focus on sensor data and predictive modeling. While these skills are valuable, the target role is 'Data Analyst'. The transition from a Machine Learning Manager/Engineer to a Data Analyst might indicate a shift in career focus, but the provided data does not offer insights into project diversity or roles that directly align with typical Data Analyst responsibilities (e.g., dashboarding, advanced SQL for business insights, A/B testing, stakeholder communication for data storytelling). The certifications in 'Data Science and Analytics Career Paths' and 'Introduction to R' show some interest in the field, but the core experience is more specialized.
Soft Skills & Operational Fit
The candidate's experience as a Graduate Teaching Assistant suggests an ability to explain complex topics and assist others, which can translate to mentorship and collaboration in a professional setting. The research roles indicate strong problem-solving and analytical skills. However, specific operational fit for a Data Analyst role, beyond technical capabilities, is not explicitly detailed in the provided data.