Phong Nguyen Ha

Data Scientist

https://talent.gravityer.com/phong-nguyen-ha

PhD

University of Oulu

Key Strengths

Extensive experience in computer vision and 3D reconstruction, evidenced by numerous personal projects like lightDenseYOLO, RGBDNet, and semanticNERF.
Proficiency in Python, C++, and CUDA, essential for high-performance data science and machine learning tasks.
Demonstrated ability to work on complex, research-oriented projects, including those published at conferences (e.g., 3DV 2021 for RGBDNet).
Strong background in deep learning architectures for object detection, novel view synthesis, and depth estimation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on academic and research-oriented computer vision tasks, which aligns well with roles requiring innovation and problem-solving. However, the lack of diverse project types (e.g., industry applications, team projects) makes a comprehensive cultural fit assessment challenging. The current role as 'Data Scientist' at a university suggests an academic or research-driven environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical project work.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Fisheye-GSv2

November 19, 2024 – November 23, 2024

Fisheye-GSv2 — GitHub repository

View Project

hierarchical-3d-gaussiansv2

November 19, 2024 – November 23, 2024

hierarchical-3d-gaussiansv2 — GitHub repository

View Project

EmerNerfv2

November 19, 2024 – November 23, 2024

EmerNerfv2 — GitHub repository

View Project

GaussianOcc_modifyv2

November 18, 2024 – November 23, 2024

GaussianOcc_modifyv2 — GitHub repository

View Project

Rendering-360-degree-view-with-few-input-views-by-PixelSplat

June 15, 2024 – June 15, 2024

Rendering-360-degree-view-with-few-input-views-by-PixelSplat — GitHub repository

View Project

Rendering-360-degree-view-with-few-input-views-by-UniDepth-Universal-Monocular-Metric-Depth-Estimat

June 15, 2024 – June 15, 2024

generate point cloud from depth map by Unidepth model and project in image plane

View Project

RGBDNet

January 11, 2022 – January 26, 2022

[3DV 2021] We propose a new cascaded architecture for novel view synthesis, called RGBD-Net, which consists of two core components: a hierarchical depth regression network and a depth-aware generator network.

View Project

semanticNERF

February 17, 2021 – December 6, 2021

semanticNERF — GitHub repository

View Project

lightDenseYOLO

June 15, 2018 – June 15, 2018

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

View Project

Edge-Based-TM

January 11, 2017 – January 11, 2017

Edge-Based-TM — GitHub repository

View Project

Key Strengths

Extensive experience in computer vision and 3D reconstruction, evidenced by numerous personal projects like lightDenseYOLO, RGBDNet, and semanticNERF.
Proficiency in Python, C++, and CUDA, essential for high-performance data science and machine learning tasks.
Demonstrated ability to work on complex, research-oriented projects, including those published at conferences (e.g., 3DV 2021 for RGBDNet).
Strong background in deep learning architectures for object detection, novel view synthesis, and depth estimation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily highlights technical project work.

Phong Nguyen Ha

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit