Elad Siman Tov

Data Scientist

https://talent.gravityer.com/elad-siman-tov

Member since June 29, 2026

Key Strengths

Demonstrated proficiency in Python and Matlab, crucial for data science and scientific computing.
Experience with Jupyter Notebooks, indicating familiarity with data exploration and model development environments.
Projects like 'Learning Based Inertial Sensing' and 'ISC3d' show application of data analysis and modeling in specific domains, which could be transferable to data science.
Exposure to C++ suggests a foundational understanding of performance-critical programming.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic or personal, focusing on robotics, biomechanics, and control systems. While demonstrating technical aptitude, there is limited evidence of diverse project types or team-based work typically associated with broader cultural fit in a corporate data science role. The projects align with scientific computing but may require a shift in focus towards business-oriented data science problems.

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

go2-gesture-control

April 5, 2026 – Present

A repo to implement the gesture detection for a demo in MadaTech.

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OSL-Control

December 4, 2025 – Present

A repo to test control strategies on the OSLv2 using ODrive and CubeMars motors in the eNaBLe lab.

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ISC3d

November 29, 2025 – Present

A toolbox to streamline the computation and analysis of Intersegmental Coordination in human gait studies. The core algorithm computes 3D elevation angles based solely on 3D anatomical joint angles.

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anthropometric-model

May 20, 2025 – May 20, 2025

anthropometric-model — GitHub repository

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Wearable-Robotics

May 15, 2025 – August 27, 2025

This repository will include HW and Final project of the Wearable Robotics Course 0360108.

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Robust-Control

May 7, 2025 – Present

This repository will include HW and the Final Project for Robust Control 00880792

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LBIS_project

February 10, 2025 – February 25, 2025

Learning Based Inertial Sensing -- final project

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Learning-Based-Inertial-Sensing

December 9, 2024 – December 23, 2024

This repository includes the HW and Final project for the course Learning Based Inertial Sensing given in the Technion.

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eladsimantov

November 7, 2024 – October 29, 2025

eladsimantov — GitHub repository

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Rehabilitation-Biomechanics

October 7, 2024 – November 6, 2024

Final Project and selected HW for the Rehabilitation Biomechanics course at the Technion.

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Key Strengths

Demonstrated proficiency in Python and Matlab, crucial for data science and scientific computing.
Experience with Jupyter Notebooks, indicating familiarity with data exploration and model development environments.
Projects like 'Learning Based Inertial Sensing' and 'ISC3d' show application of data analysis and modeling in specific domains, which could be transferable to data science.
Exposure to C++ suggests a foundational understanding of performance-critical programming.

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.

Elad Siman Tov

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit