Hamid Arabsorkhi

Data Scientist

https://talent.gravityer.com/hamid-arabsorkhi

Control Engineer and Embedded System Developer

Tehran, Tehran Province, Iran

Key Strengths

Experience with Machine Learning projects, specifically 'Machine-Learning-Class' and 'Ensemble-Indoor-Loc', which aligns with the Data Scientist target role.
Proficiency in Python and Jupyter Notebook, essential tools for data science.
Demonstrated ability to work on embedded systems (STM32F429ZIT6_OTA, IMU_UI) showcasing hardware-software integration skills, though less relevant to Data Scientist role.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a mix of embedded systems and machine learning, indicating a diverse interest. The machine learning projects align with the target role, suggesting a potential fit for data-driven environments. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

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

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

IMU_UI

June 12, 2026 – Present

This Project created for Display IMU Data On TFT LCD

View Project

rpt

November 11, 2024 – January 10, 2025

rpt is a new and original

View Project

hmda77.github.io

January 1, 2024 – January 1, 2024

hmda77.github.io — GitHub repository

View Project

STM32F429ZIT6_OTA

October 26, 2023 – December 29, 2024

This project is designed to facilitate firmware updates for STM32 microcontrollers using a wireless communication protocol. With OTA updates, you can remotely deploy firmware updates to STM32 devices without the need for physical access.

View Project

Ensemble-Indoor-Loc

July 30, 2023 – February 24, 2024

Indoor positioning on JUIndorrLoc Dataset

View Project

Machine-Learning-Class

November 6, 2022 – January 25, 2023

Machine-Learning-Class — GitHub repository

View Project

Key Strengths

Experience with Machine Learning projects, specifically 'Machine-Learning-Class' and 'Ensemble-Indoor-Loc', which aligns with the Data Scientist target role.
Proficiency in Python and Jupyter Notebook, essential tools for data science.
Demonstrated ability to work on embedded systems (STM32F429ZIT6_OTA, IMU_UI) showcasing hardware-software integration skills, though less relevant to Data Scientist role.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Hamid Arabsorkhi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit