AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IBM
Data Scientist
June 25, 2026 – Present
LGMVIP--DataScience
April 29, 2022 – April 30, 2022
LGMVIP--DataScience — GitHub repository
View ProjectEDA_World_Happiness_Report
November 11, 2021 – May 17, 2022
We use a dataset that gives the happiness rank and happiness score of 155 countries around the world based on seven factors including family, life expectancy, economy, generosity, trust in government, freedom, and dystopia residual. Sum of the value of these seven factors gives us the happiness score and the higher the happiness score, the lower the happiness rank. The purpose of this work is to find out which factors are more important to live a happier life. As a result, people and countries can focus on the more significant factors to achieve a higher happiness level. We will implement several Data Science concepts to find relations between different factors.
View ProjectVoting_Application
September 4, 2021 – April 21, 2022
Voting_Application — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a mix of Java development and Data Science projects, indicating a breadth of interest. However, the 'experienceLevel' is 0, which contradicts the current 'Data Scientist' role at IBM. The project descriptions are brief, making it difficult to fully assess the depth of engagement or collaborative aspects. The alignment with a senior Data Scientist role is questionable given the experience level and lack of detailed project outcomes.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, and no interview data is available.