Rena Gao

Data Scientist

https://talent.gravityer.com/rena-gao

Natural Language Processing PhD from Unimelb🐨 | A cat lover🐱|LLM Pretraining | Interaction Model💬

University of Melbourne

Key Strengths

Extensive personal project experience in Python and Jupyter Notebook, indicating hands-on data science work.
Demonstrated interest in Natural Language Processing (NLP) and Large Language Models (LLMs) through projects like 'LLMPirorknowledge' and 'Dialogue_CoT_EVal'.
Experience with multimodal data processing ('multimodal_ood', 'Multimodel_RAG_Indexing').
Current role as a Data Scientist at the University of Melbourne, suggesting academic and research-oriented data science exposure.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are predominantly personal and research-oriented, which aligns with an academic or R&D environment. The diversity of projects, while focused on data science, lacks clear indications of team collaboration or business impact, making it difficult to fully assess cultural fit for a corporate setting. The target role is 'Data Scientist', which aligns with the project themes.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.

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Projects

Margin

January 28, 2026 – Present

Margin — GitHub repository

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Dialogue_CoT_EVal

December 12, 2025 – December 12, 2025

This is the codes for evaluation of CoT in dialogue tasks.

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Multimodel_RAG_Indexing

July 6, 2025 – Present

Multimodel_RAG_Indexing — GitHub repository

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LLMPirorknowledge

October 14, 2024 – April 9, 2025

LLMPirorknowledge — GitHub repository

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L2Moderator

August 23, 2024 – February 21, 2025

This is the codes for generation, annoation results for L2 Moderators

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CSL2024

May 26, 2024 – April 9, 2025

This is the repo for CSL CNIMA datasets and related codes

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multimodal_ood

March 28, 2024 – August 22, 2024

This repo contains the materials for multi-modal OOD detection.

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2024InteractiveMetricsResults

February 15, 2024 – April 9, 2025

This is the results for 2024 ACL paper

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2024InteractiveMetrics

February 13, 2024 – July 4, 2024

The supporting material for SLEDA Project

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2022PairedSpeakingTestData

April 14, 2022 – October 2, 2023

This is orginal data and data processing model for active listening research project 2022.

View Project

Key Strengths

Extensive personal project experience in Python and Jupyter Notebook, indicating hands-on data science work.
Demonstrated interest in Natural Language Processing (NLP) and Large Language Models (LLMs) through projects like 'LLMPirorknowledge' and 'Dialogue_CoT_EVal'.
Experience with multimodal data processing ('multimodal_ood', 'Multimodel_RAG_Indexing').
Current role as a Data Scientist at the University of Melbourne, suggesting academic and research-oriented data science exposure.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.

Rena Gao

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit