Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Carnegie Mellon University
Data Scientist
June 27, 2026 – Present
Test-Toolchains
September 7, 2023 – September 7, 2023
Test-Toolchains — GitHub repository
View Projectskills-communicate-using-markdown
September 7, 2023 – September 7, 2023
My clone repository
View ProjectCustomer_churning
November 15, 2021 – December 12, 2021
Customer attrition or “churning” (i.e., more and more customers are leaving their credit card services, such as canceling the cards) is an important problem faced by credit card companies. In this project, you are given a dataset of 10,000 customers with 18 attributes/features, such as, age, salary, marital status, credit card limit, credit card category, and so on. The goal is to build a model that can accurately predict churning customers and help understand the reason behind the scene. The 5-fold cross-validation results will be used in evaluating the performance.
View ProjectBCI-Research-Group-Spring2021
January 25, 2021 – January 29, 2021
BCI-Research-Group-Spring2021 — GitHub repository
View ProjectReact-Apollo-Server
June 17, 2020 – December 22, 2022
React-Apollo-Server — GitHub repository
View ProjectFoodie-MobileAppVersion
June 15, 2020 – December 6, 2022
Foodie-MobileAppVersion — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a mix of interests, including web development (React-Apollo-Server, Foodie-MobileAppVersion), data science (Customer_churning), and other programming tasks (BCI-Research-Group-Spring2021, BINIT, RaceCarSimulator, KMeansCluster). While there's a clear interest in data science, the breadth of projects suggests a generalist profile rather than a focused data scientist, which might require further assessment for cultural fit within a specialized data science team. The current experience level is listed as 0, with a future start date at Carnegie Mellon University, indicating a very early career stage.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.