Orjuwan Zaafarani

Data Scientist

https://talent.gravityer.com/orjuwan-zaafarani

Riyadh, Riyadh Region, Saudi ArabiaMember since June 30, 2026

Key Strengths

Demonstrated proficiency in Python for data science projects.
Experience with Jupyter Notebook for data analysis and model development.
Projects indicate foundational understanding of machine learning concepts (e.g., dog breed classification, churn prediction, bike sharing patterns).
Exposure to deep learning concepts through the 'utils' project and neural network application.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, demonstrating initiative in learning and applying data science concepts. However, the lack of professional experience or team-based projects makes it difficult to assess cultural fit in a corporate environment. The project diversity shows an interest in various applications of data science, which could be a positive indicator for adaptability.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, indicating no completion or data provided.

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Projects

predict-customer-churn-with-clean-code

February 17, 2023 – March 4, 2023

Identify credit card customers that are most likely to churn

View Project

image-duplicate-finder-guide

April 30, 2022 – May 6, 2022

A guide to building an image duplicate/near-duplicate finder system

View Project

otp-buddy

April 24, 2022 – May 3, 2022

otp-buddy — GitHub repository

View Project

HYW

December 11, 2021 – December 12, 2021

HYW — GitHub repository

View Project

utils

November 23, 2021 – November 23, 2021

Useful methods and classes for deep learning projects

View Project

oldHYW

October 19, 2021 – December 11, 2021

oldHYW — GitHub repository

View Project

Data_Science_Nanodegree_Project_1

March 11, 2021 – March 12, 2021

Data_Science_Nanodegree_Project_1 — GitHub repository

View Project

Dog_Breed_Classifier

August 23, 2020 – August 23, 2020

The project accepts any user-supplied image as input. If a dog is detected in the image, it will provide an estimate of the dog's breed. If a human is detected, it will provide an estimate of the dog breed that is most resembling.

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Predicting_Bike_Sharing_Patterns

May 31, 2020 – June 1, 2020

The goal of this project was to build a neural network model that predicts the number of borrowed bicycles in a specific day to better help bike sharing associations understand their customers' behavior and improve their business according to it.

View Project

SeniorDesignProject

March 26, 2020 – March 26, 2020

Audio-Based Indoor Navigation System for the Visually Impaired

View Project

Key Strengths

Demonstrated proficiency in Python for data science projects.
Experience with Jupyter Notebook for data analysis and model development.
Projects indicate foundational understanding of machine learning concepts (e.g., dog breed classification, churn prediction, bike sharing patterns).
Exposure to deep learning concepts through the 'utils' project and neural network application.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, indicating no completion or data provided.

Orjuwan Zaafarani

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit