Santosh Tirunagari

Data Scientist

https://talent.gravityer.com/santosh-tirunagari

CambridgeMember since June 23, 2026

Key Strengths

Demonstrated interest in Data Science and NLP through multiple personal projects.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Projects like 'Unsupervised-Supervised-Protein-Genes-Diseases-Organisms-Extraction' and 'COVID-19-Named-Entity-Recognition' show practical application of NLP techniques.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing heavily on bio-informatics and legal document analysis. While demonstrating initiative, the lack of team-based or industry-specific projects makes it difficult to fully assess cultural fit for a typical corporate Data Scientist role. The diversity of project topics (bio-informatics, legal, image processing) suggests a broad intellectual curiosity.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Projects

JuDDges-HITL-Tool

January 17, 2026 – Present

Open-science human-in-the-loop tool for searching, annotating, curating legal judgements, reviewing model suggestions with Hypothesis, and exporting project-scoped annotated data

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biohackathon2024

October 2, 2024 – Present

ELIXIR Biohackathon 2024 project nr. 16

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chemnlp

February 13, 2023 – Present

ChemNLP project

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ML4-legal-documents

April 19, 2022 – November 14, 2023

Machine Learning for Legal Documents

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COVID-19-Named-Entity-Recognition

April 2, 2020 – September 29, 2020

Named Entity Recognition for Disorder, Species, Chemical or Drug, Gene and Protein, Enzyme, Anatomy, Biological Process, Molecular Function, Cellular Component, Pathway and microRNAs.

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covid-19-cord-19-language-modelling-response

March 24, 2020 – April 16, 2020

covid-19-cord-19-language-modelling-response — repository

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DMD-for-color-background-extraction

February 18, 2020 – February 19, 2020

Recent studies have introduced the method of Dynamic Mode Decomposition (DMD) for robustly separating video frames into a background model and foreground components. While the method introduced operates by converting color images to grayscale, we in this study propose a technique to obtain the background model in the color domain.

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DMD-Color

February 18, 2020 – February 19, 2020

DMD-Color — repository

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Unsupervised-Supervised-Protein-Genes-Diseases-Organisms-Extraction

May 26, 2019 – October 31, 2023

Extract Proteins, Genes, and Diseases from text

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issues

August 6, 2018 – July 8, 2025

Issue tracker for the Open Targets Platform

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Key Strengths

Demonstrated interest in Data Science and NLP through multiple personal projects.
Experience with Python and Jupyter Notebook, essential tools for Data Scientists.
Projects like 'Unsupervised-Supervised-Protein-Genes-Diseases-Organisms-Extraction' and 'COVID-19-Named-Entity-Recognition' show practical application of NLP techniques.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Santosh Tirunagari

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit