Reza Adinepour

Data Scientist

https://talent.gravityer.com/reza-adinepour

CE Student @ AUT

Amirkabir University of Technology (Tehran Polytechnic)

Key Strengths

Demonstrated strong interest and foundational knowledge in Machine Learning and Deep Learning through multiple personal projects.
Experience with various ML models (KNN, K-means, SVM, Decision tree, Random forest) and DL architectures (CNNs, RNNs, VAE, Transformers, GAN).
Proficiency in Python and Jupyter Notebook for data science tasks.
Exposure to hardware-accelerated computing concepts (FPGA, SystemC, Verilog, VHDL) which can be valuable for optimized model deployment.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards academic and research-oriented tasks, particularly in machine learning, deep learning, and computer architecture. This aligns well with roles that value continuous learning and problem-solving. However, the lack of collaborative projects or professional experience beyond a current 'Data Scientist' role with no specified end date or details makes it difficult to fully assess cultural fit in a team-oriented, industry setting.

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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Assessing your cultural and operational fit

Projects

systrmC-examples

August 5, 2025 – August 6, 2025

In this repo, I'm writing SystemC examples ranging from basic to advanced.

View Project

CNN-on-FPGA

January 9, 2025 – January 11, 2025

FPGA Based Implementation of CNN

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Time-Series-Forecasting

August 20, 2024 – August 23, 2024

Time Series Forecasting using Transformer Neural Network

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ViT

May 31, 2024 – April 19, 2025

ViT — GitHub repository

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Machine-Learning-Homework

March 24, 2024 – April 7, 2024

Homeworks and useful code for Machine Learning course. Includes Python, jupyer notebook implementations models like KNN, K-means, SVM, Decision tree, Random forest and etc.

View Project

Deep-Learning-Homework

February 23, 2024 – July 22, 2024

Coursework and final project for Deep Learning course. Includes theoretical solutions and Python, jupyer notebook implementations of neural network models like CNNs, RNNs, VAE, Transformers, GAN, etc.

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M.Sc-AUT

September 27, 2023 – January 16, 2024

You can find all of computer architecture documents here.

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Fire-Detection

August 25, 2023 – September 7, 2023

SDI Based Fire Detection Application

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Persian-Handwritten-Digit-Recognition

August 24, 2023 – November 30, 2023

Persian Handwritten Digit-Recognition With MLP

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CE202-LC-Lab-Manual

October 25, 2020 – June 2, 2025

Manual and Template Sources of Logic Circuit Laboratory (Verilog Templates)

View Project

Key Strengths

Demonstrated strong interest and foundational knowledge in Machine Learning and Deep Learning through multiple personal projects.
Experience with various ML models (KNN, K-means, SVM, Decision tree, Random forest) and DL architectures (CNNs, RNNs, VAE, Transformers, GAN).
Proficiency in Python and Jupyter Notebook for data science tasks.
Exposure to hardware-accelerated computing concepts (FPGA, SystemC, Verilog, VHDL) which can be valuable for optimized model deployment.

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.

Reza Adinepour

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit