anigma

Data Scientist

https://talent.gravityer.com/anigma

Bengaluru, Karnataka, IndiaMember since June 16, 2026

Key Strengths

Demonstrated interest in Data Science through projects like 'Text-Clustering-using-LDA' and 'LDA_SPARK'.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks for data exploration and analysis.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate initiative in exploring various technologies, including front-end development (Vue, HTML, CSS, JavaScript) alongside data-related tasks. This breadth suggests adaptability, but the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a professional team setting. The projects align with a data scientist role, but the descriptions are brief, limiting insight into problem-solving approaches or collaboration.

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

courses-vue-app

June 17, 2021 – June 20, 2021

courses-vue-app — GitHub repository

View Project

auto_wrk

September 12, 2017 – September 12, 2017

auto_wrk — GitHub repository

View Project

texty_v2

May 29, 2017 – May 30, 2017

texty_v2 — GitHub repository

View Project

idea_pot

October 25, 2016 – October 28, 2016

idea_pot — GitHub repository

View Project

log_analysis

October 19, 2016 – February 12, 2018

Several log analysis tasks

View Project

Text-Clustering-using-LDA

August 13, 2016 – August 13, 2016

A text clustering experiment using topic modelling implemented through LDA

View Project

LDA_SPARK

August 13, 2016 – August 13, 2016

A SPARK implementation of topic extraction using LDA (WARNING: This is very crude and unorganized, don't blame me if you go crazy)

View Project

RequestTestCaseMapping

August 13, 2016 – October 19, 2016

Several failed attempts to map requests to test cases

View Project

Texty

July 7, 2016 – August 13, 2016

Texty — GitHub repository

View Project

Key Strengths

Demonstrated interest in Data Science through projects like 'Text-Clustering-using-LDA' and 'LDA_SPARK'.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks for data exploration and analysis.

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.

anigma

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit