Probhakar Roy

Data Scientist

https://talent.gravityer.com/probhakar-roy

Just a mathematics person with too many interests to even start counting!

India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'Realtime-Facial-Expression-Recognition' and 'Deep Multi-Task Learning Network For Emotion, Age, Ethnicity Classification'.
Experience with Python, a core language for Data Science.
Exposure to Flask for API development, which can be relevant for deploying ML models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on personal projects, particularly in machine learning and data structures. This indicates a self-driven individual with a passion for learning and applying technical skills. The diversity of projects, including competitive programming ('hash_code_pizza') and web development ('PlanetaryAPI', 'url_shortener'), suggests a broad technical curiosity. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

airflow_demo

February 4, 2022 – February 4, 2022

airflow_demo — GitHub repository

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PlanetaryAPI

July 30, 2020 – May 25, 2022

Creating Flask REST API's

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python-design-patterns

July 28, 2020 – July 28, 2020

Python design patterns

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flask_template

July 13, 2020 – March 20, 2021

basic flask app template.

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url_shortener

July 8, 2020 – April 20, 2021

url_shortener — GitHub repository

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moos_server

February 19, 2020 – December 10, 2022

MOOS Server.

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Algorithms-Data-Structures

February 19, 2020 – June 23, 2020

Algorithms-Data-Structures — GitHub repository

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hash_code_pizza

January 26, 2020 – February 8, 2020

Hash Code 2020 Pizza Slice Problem Solution

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tcs_humain_challenge

August 15, 2019 – December 8, 2022

Deep Multi-Task Learning Network For Emotion, Age, Ethnicity Classification Created For TCS HumAIn Challenge.

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Realtime-Facial-Expression-Recognition-using-geometric-analysis

June 6, 2019 – June 6, 2019

This repository conatins the implementation of designed Emotion Recognition model trained using Cohn-Kanade and fer-2013 datasets.

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through projects like 'Realtime-Facial-Expression-Recognition' and 'Deep Multi-Task Learning Network For Emotion, Age, Ethnicity Classification'.
Experience with Python, a core language for Data Science.
Exposure to Flask for API development, which can be relevant for deploying ML models.

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 are available.

Probhakar Roy

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit