Akshay_Brijpuria_

Data Scientist

https://talent.gravityer.com/akshaybrijpuria

Security Researcher ___and___ Machine Learning Enthusiast

Member since June 19, 2026

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like '_Reinforcement_Learning', 'ML_Explorer', and 'ML_Service_API'.
Proficiency in Python, a core language for Data Science, as evidenced by its use across multiple projects.
Experience with Jupyter Notebook and Dockerfile, indicating familiarity with common data science development and deployment tools.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong focus on personal initiatives, primarily in Python and related to Machine Learning. This indicates a self-starter mentality and passion for the field. However, the lack of team projects or diverse technology stacks limits the assessment of collaborative fit or adaptability to varied technical environments. The projects align well with a Data Scientist role, demonstrating relevant technical interests.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

ML_Service_API

November 25, 2020 – December 2, 2020

ML_Service_API — GitHub repository

View Project

URL_Shortener_GraphQL

October 27, 2020 – October 27, 2020

URL_Shortener_GraphQL — GitHub repository

View Project

_Reinforcement_Learning

September 22, 2020 – October 2, 2020

_Reinforcement_Learning — GitHub repository

View Project

ML_Explorer

April 27, 2020 – May 3, 2020

ML_Explorer — GitHub repository

View Project

Caller-API

May 25, 2019 – April 22, 2022

Caller-API — GitHub repository

View Project

DejaServer

April 23, 2019 – January 22, 2020

DejaServer — GitHub repository

View Project

TensorFlow_Prac

April 23, 2019 – May 10, 2019

TensorFlow_Prac — GitHub repository

View Project

Insecure-Django-Application

December 28, 2018 – January 22, 2019

Insecure-Django-Application — GitHub repository

View Project

Google-MailBox

May 1, 2018 – March 23, 2021

Google-MailBox — GitHub repository

View Project

FaceBook-HackerCup--17

January 10, 2017 – January 11, 2017

FaceBook-HackerCup--17 — GitHub repository

View Project

Key Strengths

Demonstrated interest in Machine Learning and Data Science through personal projects like '_Reinforcement_Learning', 'ML_Explorer', and 'ML_Service_API'.
Proficiency in Python, a core language for Data Science, as evidenced by its use across multiple projects.
Experience with Jupyter Notebook and Dockerfile, indicating familiarity with common data science development and deployment tools.

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.

Akshay_Brijpuria_

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit