haqishen

Data Scientist

https://www.opentalent.in/haqishen

Machine Learning Engineer & Kaggle GrandMaster

Nalalys

Key Strengths

Extensive experience in competitive machine learning and deep learning, evidenced by multiple top-tier Kaggle solutions (1st, 2nd, 3rd, 9th places).
Strong proficiency in Python for data science and machine learning.
Demonstrated ability to work on complex, real-world problems such as medical image classification (Melanoma, COVID-19 detection) and landmark recognition.
Experience with various deep learning architectures and frameworks (e.g., FC-DenseNet, MFNet, PyTorch, Chainer).
Practical application of data science in an automated trading context.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio demonstrates a strong drive for achievement and problem-solving, particularly in competitive data science environments. The diversity of projects, ranging from medical imaging to financial trading, suggests adaptability and a broad interest in applying data science techniques. The current role as a Data Scientist at Nalalys aligns well with the target role, indicating a clear career path. However, the lack of team-based project descriptions or collaborative work details makes it difficult to fully assess cultural fit beyond individual drive.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, indicating a focus on technical output. No psychometric or English test results are available for evaluation.

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Projects

QAI-apps.github.io

April 8, 2026 – Present

QAI-apps.github.io — GitHub repository

View Project

siim2021

May 31, 2021 – January 11, 2022

2nd place of SIIM-FISABIO-RSNA COVID-19 Detection

View Project

AllDataAreExt-Galixir-Kaggle-HPA-2021-Solution

May 25, 2021 – May 27, 2021

9th place solution

View Project

Google-Landmark-Recognition-2020-3rd-Place-Solution

October 10, 2020 – February 21, 2021

Google-Landmark-Recognition-2020-3rd-Place-Solution — GitHub repository

View Project

SIIM-ISIC-Melanoma-Classification-1st-Place-Solution

August 27, 2020 – April 4, 2025

SIIM-ISIC-Melanoma-Classification-1st-Place-Solution — GitHub repository

View Project

MFNet-pytorch

June 9, 2018 – December 20, 2019

MFNet-pytorch, image semantic segmentation using RGB-Thermal images

View Project

python-IB-Trader

April 9, 2018 – June 7, 2019

a minimal automated trader for American stock using official Interactive Brokers python API (ibapi)

View Project

UTokyo-Info-2018

March 31, 2018 – March 31, 2018

UTokyo-Info-2018 — GitHub repository

View Project

FC-DenseNet-Tiramisu-chainer

September 5, 2017 – September 6, 2017

chainer implementation of FC-DenseNet (also named Tiramisu)

View Project

ACM

June 6, 2015 – June 6, 2015

ACM — GitHub repository

View Project

Key Strengths

Extensive experience in competitive machine learning and deep learning, evidenced by multiple top-tier Kaggle solutions (1st, 2nd, 3rd, 9th places).
Strong proficiency in Python for data science and machine learning.
Demonstrated ability to work on complex, real-world problems such as medical image classification (Melanoma, COVID-19 detection) and landmark recognition.
Experience with various deep learning architectures and frameworks (e.g., FC-DenseNet, MFNet, PyTorch, Chainer).
Practical application of data science in an automated trading context.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

haqishen

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit