Chetan Yeola

Data Scientist

https://talent.gravityer.com/chetan-yeola

Data scientist

Software Developer

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects (Perceptron-Implementation, CarPricePrediction, Books-Recommender-System-Using-Machine-Learning, Wall-Crack-Detection-system, Vehicles-Count-Using-Object-Detection, Face_Recognition).
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Practical application of object detection and recommender systems in personal projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate initiative in learning and applying data science concepts. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit. The single listed 'experience' entry as 'Software Developer' with 'Data Scientist' role and a future start date (2026) is unusual and lacks detail, making it hard to evaluate alignment with a senior role.

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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Projects

Examples_of_pandas_ai

May 31, 2023 – May 31, 2023

Examples_of_pandas_ai — GitHub repository

View Project

Perceptron-Implementation

March 2, 2023 – May 30, 2023

Perceptron-Implementation — GitHub repository

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Chetan-Yeola.github.io

November 8, 2022 – November 8, 2022

Chetan-Yeola.github.io — GitHub repository

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Books-Recommender-System-Using-Machine-Learning

October 14, 2022 – February 8, 2023

Books-Recommender-System-Using-Machine-Learning — GitHub repository

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Web_Scrapper

September 1, 2022 – December 15, 2022

image_scrapper

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Wall-Crack-Detection-system

August 29, 2022 – August 29, 2022

Wall-Crack-Detection-system — GitHub repository

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Vehicles-Count-Using-Object-Detection

June 26, 2022 – June 26, 2022

Object detection is proven to be a great tool for detecting many things. We tried to calculate the total number of vehicles passing road at particular instance of time. This kind of technology we can use to count fast moving objects with greater accuracy. This will help to calculate average density of vehicles on particular road and will help to manage traffic effectively with lesser human interference.

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Face_Recognition

November 14, 2021 – November 29, 2021

Face_Recognition — GitHub repository

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Chetan-Yeola

November 1, 2021 – June 1, 2023

Config files for my GitHub profile.

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CarPricePrediction

December 17, 2020 – December 18, 2020

CarPricePrediction — GitHub repository

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects (Perceptron-Implementation, CarPricePrediction, Books-Recommender-System-Using-Machine-Learning, Wall-Crack-Detection-system, Vehicles-Count-Using-Object-Detection, Face_Recognition).
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Practical application of object detection and recommender systems in personal projects.

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.

Chetan Yeola

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit