Research: Information network embedding, computational sustainability and AI in general Work: IBM Research & IISc Bangalore
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HAIN
October 24, 2020 – October 24, 2020
Implementation of HAIN in paper IEEE BigDATA 2020: "Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion".
View ProjectTextOutlierDetection
September 27, 2020 – October 18, 2020
Unsupervised text anomaly detection and clustering in multiclass document dataset.
View Projectline2vec
January 14, 2019 – December 22, 2019
Information network edge representation learning using edge-to-vertex dual graphs (a.k.a line graph). In addition to that, an optimisation problem is solved efficiently to generate the edge embeddings.
View ProjectONE
November 12, 2018 – February 2, 2020
Outlier Aware Network Embedding for Attributed Networks
View ProjectFSCNMF
February 11, 2018 – February 11, 2018
This repo contains the code and some dataset for the network representation technique: FSCNMF
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards academic and research-heavy data science, particularly in graph theory and network analysis. This indicates a fit for roles requiring deep technical investigation and algorithmic development. However, the lack of diverse project types (e.g., deployment, business impact, team projects) and technologies outside of Python and Matlab limits the assessment of broader cultural fit for a typical industry Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.