
Sneha Singh
@snehasingh13
Data science research intern at NIT Kurukshetra researching GNNs for predictive modeling and structured data.
What I'm looking for
At NIT Kurukshetra, I’m researching Graph Neural Networks for predictive modeling and structured data analysis. At IIT Indore, I conducted a comparative literature study of anomaly detection methods for AIOps and industrial systems and performed geospatial analysis using QGIS.
In my research on dengue drug efficacy, I built a comparative framework using Random Forest, XGBoost, GNNs and VAEs; the GNN achieved the best results. I also developed a drift-aware AIOps pipeline for predictive anomaly detection and built Driftuara, an explainable drift-monitoring platform deployed on GitHub Pages and Render.
Experience
Work history, roles, and key accomplishments
Research Intern
NIT Kurukshetra
Researching Graph Neural Networks (GNNs) for predictive modeling and structured data analysis.
Research Intern
IIT Indore
Jan 2026 - Present (9 months)
Conducted a literature review and comparative study of anomaly detection methods for AIOps and industrial systems, including saliency-based time-series detection, VAE-based detection, and deep learning machine-vision methods. Performed geospatial analysis using QGIS.
Education
Degrees, certifications, and relevant coursework
Vellore Institute of Technology
B.Tech, Computer Science (Data Science)
2024 -
Grade: 8.79 CGPA
Pursuing B.Tech in Computer Science with a specialization in Data Science, maintaining a CGPA of 8.79.
St. Xavier's High School
Class XII (CBSE), General
2021 - 2023
Grade: 87.6%
Completed Class XII under CBSE with 87.6%.
St. Xavier's High School
Class X (CBSE), General
2019 - 2021
Grade: 97.6%
Completed Class X under CBSE with 97.6%.
IBM
Generative AI Advanced, Generative AI
Completed certification in Generative AI Advanced.
Availability
Location
Authorized to work in
Portfolio
sneha21-09.github.io/portfolioSalary expectations
Social media
Job categories
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