Dipmalya Hazari

Data Scientist

https://talent.gravityer.com/dipmalya-hazari

Love to read comics and writing bash scripts.

Kolkata, West Bengal, India

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'Machine_Learning_for_data_analytics' and 'word-prediction-based-on-LSTM-model'.
Familiarity with Python for problem-solving and algorithm implementation ('leetcode_problems', 'Sorting-algorithms').
Experience with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing on foundational computer science and machine learning concepts. There is no information regarding collaborative projects, team environments, or contributions to open source beyond personal configuration files. This makes it difficult to assess cultural fit for a professional team setting.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or detailed project descriptions are available to infer these qualities.

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

my_emacs_config

May 3, 2026 – Present

I try to take the most default emacs as possible.

View Project

Sorting-algorithms

November 17, 2025 – November 17, 2025

All sorting algorithms

View Project

leetcode_problems

November 7, 2025 – November 28, 2025

Soving the leetcode problems using python

View Project

word-prediction-based-on-LSTM-model

February 28, 2025 – February 28, 2025

word-prediction-based-on-LSTM-model — GitHub repository

View Project

DipmalyaHazari

April 23, 2021 – July 28, 2025

Config files for my GitHub profile.

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Machine_Learning_for_data_analytics

April 10, 2021 – April 10, 2021

Machine_Learning_for_data_analytics — GitHub repository

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'Machine_Learning_for_data_analytics' and 'word-prediction-based-on-LSTM-model'.
Familiarity with Python for problem-solving and algorithm implementation ('leetcode_problems', 'Sorting-algorithms').
Experience with Jupyter Notebook, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or detailed project descriptions are available to infer these qualities.

Dipmalya Hazari

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit