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Machine Learning Engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
People-Behavioral-Analysis
November 16, 2019 – November 17, 2019
AI based people behavioral analysis for targeted live ads
View ProjectDynamic-People-Profiling
November 15, 2019 – November 16, 2019
Dynamic-People-Profiling — GitHub repository
View ProjectCode-Smells-Detection
May 6, 2019 – May 15, 2019
Code smells classifier using automatically extracted source code features by pre-trained Code2Vec and/or LSTM
View ProjectSource-Code-Modelling-Preparation
May 6, 2019 – May 7, 2019
Source-Code-Modelling-Preparation — GitHub repository
View ProjectSource-Code-Modelling
May 6, 2019 – May 8, 2019
Trained LSTM for Java Source Code Modelling using partial Java Github Corpus
View ProjectDependencyContainer
March 30, 2018 – April 8, 2018
DependencyContainer — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, indicating a strong drive for self-learning and exploration in AI/ML. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit within an organizational setting. The project diversity is good, but the direct alignment with a senior Data Scientist role is limited by the absence of production-level systems or complex data engineering challenges.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.