Key Strengths

Extensive experience in Machine Learning and Data Science roles at reputable companies (Meta, Allstate, Apollo Video Technology).
Strong academic background with a Master’s Degree in Applied Mathematics.
Proficiency in Python, TensorFlow, Keras, OpenCV, R, MATLAB, and SQL, which are relevant for data analysis.
Experience with multivariate statistical models and anomaly detection.
Background in engineering (Chemical, Materials, Process and Physics) provides a strong analytical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate has a strong background in Machine Learning and Data Science, which involves significant data analysis. However, the target role is 'Data Analyst', which might be a step down from their recent Machine Learning Engineer roles. While the skills are transferable, the career trajectory suggests a focus on more advanced ML/AI applications rather than pure data analysis. The diversity of projects is not explicitly detailed, making it difficult to fully assess cultural fit beyond technical alignment. The candidate's experience is heavily skewed towards ML engineering, which may not perfectly align with a dedicated Data Analyst role without further clarification of their interest in this specific capacity.

Soft Skills & Operational Fit

The candidate's resume highlights experience in designing and implementing experiments, creating statistical models, and prototyping data visualization applications, suggesting strong analytical and problem-solving skills. The description of improving R application performance with custom C libraries indicates an aptitude for optimization and technical depth. However, specific soft skills like teamwork, leadership, or communication are not explicitly detailed in the provided job descriptions.

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Yusuf Mansour

Data Analyst

https://www.opentalent.in/yusuf-mansour

Machine Learning Engineer at Meta

Top Skills

ExperimentationMachine LearningData sciencePythonC++RGoJavaScriptTensorFlowStatisticsStatistical ProgrammingExperimental DesignData Analysis

Skills

ExperimentationMachine LearningData sciencePythonC++RGoJavaScriptTensorFlowStatisticsStatistical ProgrammingExperimental DesignData Analysis

Education

University of Washington

Master’s Degree, Applied Mathematics

January 1, 2015 – January 1, 2016

UW Professional & Continuing Education

Certificate, Aerospace Composite Materials and Manufacturing

January 1, 2013 – January 1, 2014

University of Idaho

Bachelor of Science (BS), Chemical Engineering

January 1, 2005 – January 1, 2009

Experience

Key Strengths

Extensive experience in Machine Learning and Data Science roles at reputable companies (Meta, Allstate, Apollo Video Technology).
Strong academic background with a Master’s Degree in Applied Mathematics.
Proficiency in Python, TensorFlow, Keras, OpenCV, R, MATLAB, and SQL, which are relevant for data analysis.
Experience with multivariate statistical models and anomaly detection.
Background in engineering (Chemical, Materials, Process and Physics) provides a strong analytical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit