Thi Pham

Data Scientist

https://talent.gravityer.com/thi-pham

Ph.D. Student in Computer Science

Nantes, Pays de la Loire, France

Key Strengths

Extensive personal project experience in Python, particularly in areas related to LLMs, SPARQL, and data benchmarking, which aligns with Data Scientist roles.
Demonstrated proficiency in Jupyter Notebook for data analysis and experimentation.
Exposure to various programming languages (Python, Java, JavaScript, TypeScript) and web technologies (HTML, CSS).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards research-oriented and experimental work, which could be a good fit for an innovative or R&D-focused team. The diversity of technologies used across projects suggests adaptability. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

projet_de_recherche-

January 29, 2026 – Present

projet_de_recherche- — GitHub repository

View Project

sql2sparql

September 23, 2025 – October 10, 2025

SQL2SPARQL implementation from a research paper

View Project

passage-experiments

October 4, 2024 – February 11, 2025

passage-experiments — GitHub repository

View Project

passage

September 12, 2024 – July 28, 2025

Passage Ain't So SaGe.

View Project

passage-comunica

September 3, 2024 – Present

Passage x Comunica

View Project

crawd-experiments

March 24, 2024 – August 3, 2024

crawd-experiments — GitHub repository

View Project

SPARQLLM

March 17, 2024 – Present

SPARQLLM — GitHub repository

View Project

LLM4SchemaOrg

October 24, 2023 – Present

LLM4SchemaOrg — GitHub repository

View Project

fedup-experiments

May 10, 2023 – February 28, 2025

Code for the experimental part of FedUP.

View Project

Benchmark-Tracker

June 23, 2022 – June 30, 2022

Benchmark-Tracker — GitHub repository

View Project

Key Strengths

Extensive personal project experience in Python, particularly in areas related to LLMs, SPARQL, and data benchmarking, which aligns with Data Scientist roles.
Demonstrated proficiency in Jupyter Notebook for data analysis and experimentation.
Exposure to various programming languages (Python, Java, JavaScript, TypeScript) and web technologies (HTML, CSS).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Thi Pham

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit