Carlos Alas

Data Scientist

https://talent.gravityer.com/carlos-alas

I am a Ph. D candidate in Physics at the University of Southern California

University of Southern California

Key Strengths

Demonstrated interest in various machine learning applications through personal projects (classification, regression).
Experience with common data science tools like Jupyter Notebook and Python.
Exposure to different machine learning algorithms including SVM, Logistic Regression, Linear Regression, RNN, CNN, and Random Forest.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on individual data science tasks, which aligns with the technical aspects of a Data Scientist role. However, the lack of team projects or diverse industry experience makes it difficult to fully assess cultural fit beyond technical alignment. The single listed experience as 'Data Scientist' at a university with a future start date provides limited insight into actual work experience or collaboration.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

website

February 8, 2026 – Present

website — GitHub repository

View Project

StockPrice_Regressor