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DEDuCTv3.0
January 14, 2026 – Present
This repository is associated with the paper "DEDuCT 3.0: An enhanced and expanded FAIR-compliant resource and toxicology knowledge graph for endocrine disrupting chemicals".
View ProjectPhDThesis-Ajaya_Kumar_Sahoo
August 5, 2024 – April 9, 2025
This repository contains the supplementary information, figures and codes associated with the PhD thesis titled "Computational data-driven investigation of chemical exposome and its links to human and ecosystem health" authored by Ajaya Kumar Sahoo
View ProjectCurvature-BERC
February 13, 2024 – April 9, 2025
This repository is associated with the manuscript: "Bakry-Émery-Ricci curvature: An alternative network geometry measure in the expanding toolbox of graph Ricci curvatures"
View ProjectBushySTG
July 15, 2023 – April 9, 2025
This repository is associated with the manuscript: "Biologically meaningful regulatory logic enhances the convergence rate in Boolean networks and bushiness of their state transition graph"
View ProjectIMPPAT2
May 30, 2022 – April 12, 2024
This repository is associated with the manuscript: "IMPPAT 2.0: An Enhanced and Expanded Phytochemical Atlas of Indian Medicinal Plants"
View ProjectPoset-Hypergraph-Curvature
February 22, 2022 – April 12, 2024
This repository is associated with the paper: “A Poset-Based Approach to Curvature of Hypergraphs”
View ProjectMCBF
September 19, 2021 – April 12, 2024
This repository is associated with the manuscript: "Minimum complexity drives regulatory logic in Boolean models of living systems"
View ProjectCurvature-FCN-ASD
September 1, 2021 – April 12, 2024
This repository is associated with the manuscript: “Graph Ricci Curvatures Reveal Atypical Functional Connectivity in Autism Spectrum Disorder”
View ProjectStockMarkNetIndicator
January 8, 2021 – April 12, 2024
This repository is associated with the manuscript: "Network Geometry and Market Instability"
View ProjectFinNetIndicators
December 13, 2020 – April 12, 2024
This repository is associated with the manuscript: "Network-centric Indicators for Fragility in Global Financial Indices"
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on academic research and scientific publications, primarily in network geometry, bioinformatics, and computational biology. While these projects demonstrate strong analytical capabilities, their direct applicability and alignment with a typical industry 'Data Scientist' role, which often involves business intelligence, predictive modeling for commercial applications, or product analytics, are not explicitly clear. The breadth of skills is good for scientific computing, but there's a lack of explicit mention of common industry data science tools like SQL, cloud platforms, MLOps, or A/B testing. This suggests a potential gap in cultural fit for a fast-paced, product-oriented data science team without further validation.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on research and academic contributions. While this suggests analytical rigor and problem-solving abilities, there is insufficient data to assess soft skills such as teamwork, leadership, or adaptability in a corporate operational setting. The psychometric test score is 0, providing no insight into work attitude or stress handling.