Mohammed Innat

Data Scientist

https://talent.gravityer.com/mohammed-innat

AI Research Software Engineer | Kaggler

株式会社調和技研 | CHOWA GIKEN Corp

Key Strengths

Strong foundational knowledge in Python for data science and machine learning, evidenced by numerous personal projects.
Extensive experience with deep learning frameworks like Keras and TensorFlow 2, applied to complex tasks such as video pre-training and hybrid models.
Demonstrated ability to work with advanced machine learning concepts including Masked Autoencoders, Swin Transformers, and Transfer Learning.
Practical application of data science techniques in diverse areas like healthcare imaging and video modeling.
Current employment as a Data Scientist at CHOWA GIKEN Corp, indicating professional experience in the field.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards cutting-edge research and development in AI/ML, which aligns well with an innovative and research-driven culture. The diversity of projects, from resource repositories to complex model implementations, suggests a proactive and self-driven learning attitude. However, the lack of team-based projects or collaborative descriptions makes it difficult to fully assess cultural fit beyond individual technical contributions.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

VideoSwin

September 28, 2023 – October 29, 2025

Keras 3 Implementation of Video Swin Transformers for 3D Video Modeling

View Project

VideoMAE

September 28, 2023 – January 19, 2024

[NeurIPS'22] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

View Project

medic-ai

July 28, 2023 – Present

AI Toolkit for Healthcare Imaging in Keras 3

View Project

DOLG-TensorFlow

October 25, 2021 – June 19, 2023

Implementation of Deep Orthogonal Fusion of Local and Global Features in TensorFlow 2

View Project

HybridModel-GradCAM

October 22, 2021 – October 14, 2023

A Keras implementation of hybrid efficientnet swin transformer model.

View Project

ML-Resource

August 21, 2019 – February 19, 2024

A concise resource repository for machine learning

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Transfer-Learning-PySpark

July 22, 2019 – November 12, 2019

Multi-Class Classification | Transfer Learning With PySpark

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DIP-In-Python

June 10, 2018 – August 30, 2021

Play around with Pixel in Python

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Raspberry-Pi-WebSocket

May 6, 2018 – November 16, 2021

Control Raspberry Pi GPIOs with WebSockets

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Py4-DS

April 22, 2018 – October 3, 2023

:snake: Data Science Boot-Camp : UC San DiegoX

View Project

Key Strengths

Strong foundational knowledge in Python for data science and machine learning, evidenced by numerous personal projects.
Extensive experience with deep learning frameworks like Keras and TensorFlow 2, applied to complex tasks such as video pre-training and hybrid models.
Demonstrated ability to work with advanced machine learning concepts including Masked Autoencoders, Swin Transformers, and Transfer Learning.
Practical application of data science techniques in diverse areas like healthcare imaging and video modeling.
Current employment as a Data Scientist at CHOWA GIKEN Corp, indicating professional experience in the field.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Mohammed Innat

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit