Anoop T P

Data Scientist

https://talent.gravityer.com/anoop-t-p

I am a Software Professional. I have a passion for data science, machine learning, big data and programming.

Bengaluru, Karnataka, India

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'DataScienceLearning', 'Kaggle_Challenges', and 'Machine-learning-using-scikit-learn'.
Proficiency in Python and Jupyter Notebook, essential tools for a Data Scientist.
Experience with Docker, indicating some understanding of containerization and deployment, which can be beneficial for MLOps.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a proactive learning attitude through numerous personal projects and Kaggle participation. The diversity of projects, including web development (JavaScript, Docker) alongside data science, suggests a broad technical interest. However, the depth of engagement in each area is not clear from descriptions alone. Alignment with a senior Data Scientist role requires more focused, impactful projects.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Anoop-Certificates

February 4, 2023 – February 4, 2023

Anoop-Certificates — GitHub repository

View Project

DataScienceLearning

December 12, 2021 – April 25, 2022

Data Science Learning

View Project

cCrushBackend

December 16, 2019 – December 11, 2022

cCrushBackend — GitHub repository

View Project

mean-course

September 3, 2019 – January 7, 2023

A combination of mean stack and docker

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node-db-docker-compose

May 1, 2019 – May 5, 2019

Nodejs docker compose

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Kaggle_Challenges

November 22, 2016 – April 19, 2022

All Kaggle Challenges put at one place.

View Project

Machine-learning-using-scikit-learn

November 13, 2016 – November 20, 2016

Learning Machine Learning using scikit-learn

View Project

reflections

October 11, 2014 – October 12, 2014

Udacity How to use Git and GitHub Course

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coursera_intro_to_interactive_python

August 9, 2014 – August 9, 2014

coursera_intro_to_interactive_python — GitHub repository

View Project

test-repo

May 11, 2014 – May 11, 2014

Test - Repo

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'DataScienceLearning', 'Kaggle_Challenges', and 'Machine-learning-using-scikit-learn'.
Proficiency in Python and Jupyter Notebook, essential tools for a Data Scientist.
Experience with Docker, indicating some understanding of containerization and deployment, which can be beneficial for MLOps.

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.

Anoop T P

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit