Dwaipayan Roy

Data Scientist

https://www.opentalent.in/dwaipayan-roy

Post-doctoral Researcher

GESIS - Cologne

Key Strengths

Extensive personal project experience in Information Retrieval (IR) and Natural Language Processing (NLP) using Java and Python.
Demonstrated experience with advanced IR models (RM3, RM3IDF, Relevance-based Language Models).
Familiarity with tools like Lucene for indexing and retrieval.
Experience with word2vec for query expansion, indicating understanding of vector space models.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on academic and research-oriented tasks within Information Retrieval and NLP, which aligns well with a Data Scientist role that might involve research or model development. However, the projects are predominantly personal, and there is only one current professional experience listed, which is also as a Data Scientist. The breadth of technologies used is somewhat concentrated around Java and IR-specific tools, with some Python. This indicates a focused interest but potentially less exposure to diverse industry practices or team collaboration scenarios.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's experience is primarily in personal projects, and no psychometric test results are available.

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Projects

MIRA-LLM-Assisted-Benchmark

October 18, 2025 – Present

MIRA-LLM-Assisted-Benchmark — GitHub repository

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qpp-comb

October 29, 2024 – April 23, 2025

Combining Query Performance Predictors

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jcdl2024

July 6, 2024 – December 17, 2024

exData: Tool for extracting Datasets from research articles.

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I-REX

September 1, 2019 – July 30, 2025

I-REX: A Lucene Plugin for EXplainable IR

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rm3idf

May 4, 2019 – May 4, 2019

Lucene implementation of RM3IDF method as proposed in SIGIR 2019 by Roy et al.

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WebDoc_Indexer_Retriever_QE

September 20, 2017 – April 17, 2018

WebDoc_Indexer_Retriever_QE — GitHub repository

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Luc4TREC

June 2, 2016 – December 29, 2020

Luc4TREC — GitHub repository

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QE_With_W2V

June 1, 2016 – July 18, 2019

Query Expansion using word2vec

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txtvecir

May 3, 2016 – April 28, 2017

Combination of text and wordvector based similarities

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Relevance-Model

April 26, 2016 – March 14, 2017

Relevance based Language Model (Victor Lavrenko - SIGIR-2001) with query mix (RM3 - Jaleel et al. TREC-2004)

View Project

Key Strengths

Extensive personal project experience in Information Retrieval (IR) and Natural Language Processing (NLP) using Java and Python.
Demonstrated experience with advanced IR models (RM3, RM3IDF, Relevance-based Language Models).
Familiarity with tools like Lucene for indexing and retrieval.
Experience with word2vec for query expansion, indicating understanding of vector space models.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's experience is primarily in personal projects, and no psychometric test results are available.

Dwaipayan Roy

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit