Rajkumar Chakraborty

Data Scientist

https://talent.gravityer.com/rajkumar-chakraborty

New Delhi, Delhi, IndiaMember since June 16, 2026

Key Strengths

Strong foundational interest in bioinformatics and computational biology, evidenced by multiple personal projects.
Experience with Python, Jupyter Notebook, and shell scripting, which are relevant for data science roles.
Demonstrated ability to apply deep learning (CNN, LSTMs) and NLP practices to biological sequence analysis.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on bioinformatics and computational biology, indicating a potential fit for roles within this niche of data science. The diversity of projects, while all within a similar domain, suggests a proactive learning approach. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit.

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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Projects

Bioinformatics-Workflow-for-Human-IL-2

February 8, 2026 – Present

Design a robust expression strategy for Target-X (Human Interleukin-2 Precursor) using a Baculovirus Expression Vector System (BEVS) in Spodoptera frugiperda (Sf9) insect cells.

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Bioinformatics_tutorial

September 13, 2024 – Present

Bioinformatics_tutorial — GitHub repository

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Predicting-protein-intrinsically-disordered-regions-by-applying-NLP-practices

January 1, 2023 – January 1, 2023

Predicting-protein-intrinsically-disordered-regions-by-applying-NLP-practices — GitHub repository

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https-codeocean.com-capsule-3457808-tree

January 1, 2023 – January 1, 2023

https-codeocean.com-capsule-3457808-tree — GitHub repository

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drug_analog_data

December 20, 2022 – Present

drug_analog_data — GitHub repository

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Hands-On-Data-Science-for-Biologists-Using-Python

March 3, 2022 – March 3, 2022

Supplementary resources to: Hands-On Data Science for Biologists Using Python

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github-slideshow

March 26, 2021 – March 26, 2021

A robot powered training repository :robot:

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Predicting-RNA-Site-Accessibility-using-Deep-Learning

February 29, 2020 – February 29, 2020

Predicting-RNA-Site-Accessibility-using-Deep-Learning — GitHub repository

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sequence-prediction-using-CNN-and-LSTMs

September 9, 2018 – June 21, 2022

microRNA sequence prediction using CNN and LSTM

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Key Strengths

Strong foundational interest in bioinformatics and computational biology, evidenced by multiple personal projects.
Experience with Python, Jupyter Notebook, and shell scripting, which are relevant for data science roles.
Demonstrated ability to apply deep learning (CNN, LSTMs) and NLP practices to biological sequence 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.

Rajkumar Chakraborty

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit