
Being interested in machine learning, big data, NLP, recsys and fancy web techs such as nodejs, reactjs......
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
machine-learning-practice
June 17, 2017 – July 2, 2017
machine-learning-practice — GitHub repository
View ProjectNER-UNSW_Data_Mining
November 20, 2016 – November 20, 2016
NER-UNSW_Data_Mining — GitHub repository
View ProjectRel_Extraction-UNSW_InfoRetrieval_and_Search
November 20, 2016 – November 23, 2016
Rel_Extraction-UNSW_InfoRetrieval_and_Search — GitHub repository
View ProjectPool_Tracking-UNSW_Computer_Vision
November 20, 2016 – November 20, 2016
Pool_Tracking-UNSW_Computer_Vision — GitHub repository
View ProjectDijkstra_on_Hadoop-UNSW_Big_Data
November 20, 2016 – November 20, 2016
Dijkstra_on_Hadoop-UNSW_Big_Data — GitHub repository
View ProjectCplusplus_Exer-UNSW_Advanced_Cplusplus
November 20, 2016 – November 20, 2016
Cplusplus_Exer-UNSW_Advanced_Cplusplus — GitHub repository
View ProjectRecommender_Sys-UNSW_Machine_Learning
November 20, 2016 – November 20, 2016
Recommender_Sys-UNSW_Machine_Learning — GitHub repository
View ProjectVC_Compiler-UNSW_Compiler
November 20, 2016 – November 20, 2016
VC_Compiler-UNSW_Compiler — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project history shows a strong academic background with diverse technical interests, including machine learning, big data, and compilers. While this demonstrates a broad technical curiosity, the target role is 'Frontend Developer'. The projects listed do not strongly align with modern frontend development frameworks or practices (e.g., React, Angular, Vue, advanced CSS frameworks, build tools). This suggests a potential mismatch in specific domain focus, though the underlying technical aptitude could be transferable. The lack of detailed project descriptions makes it difficult to fully assess the depth of involvement or specific contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.