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Assistant Professor | Computational Biotechnologist | Biomedical Data Scientist
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Sri Ramachandra Institute of Higher Education and Research
Data Scientist
June 18, 2026 – Present
hepatitis_B
June 25, 2025 – October 27, 2025
A Julia-based machine learning framework to identify predictive biomarkers for chronic Hepatitis B progression from sparse clinical data.
View Projectjuprot
May 21, 2025 – Present
A web service and standalone Docker toolkit for the comparative analysis of protein-ligand interaction networks, powered by the PLIP engine. Published in In Silico Pharmacology.
View Projectdiabetic_retinopathy
May 6, 2025 – Present
Machine learning model in Julia classifies patients with Diabetes Mellitus, Diabetic Retinopathy, and Diabetic Nephropathy using biomarkers Hornerin and SFN, plus clinical features like age and diabetic duration, for diagnostic applications.
View ProjectdiabeticRetinopathy
March 30, 2025 – March 31, 2025
Go-based Random Forest classifier for Diabetes Mellitus, Diabetic Retinopathy, and Diabetic Nephropathy using a 77-patient dataset. Features categorical preprocessing, 5-fold cross-validation (67.53% accuracy), and EDA plots with gonum/plot.
View ProjectPublication_Metrics_R
October 5, 2024 – October 5, 2024
Publication Metrics analysis of the Faculty of Biomedical Sciences 2023 - 2024
View ProjectVirulence_R
October 5, 2024 – October 5, 2024
Incidence of virulence genes from the dental pathogen, Enterococcus faecalis
View ProjectAllocate_R
October 3, 2024 – October 3, 2024
The code allocates the students to research supervisors based on their CGPA and preference.
View ProjectHepatitis_B_Mutation_R
September 30, 2024 – October 5, 2024
Profiling the anti-HBc antibody response provides temporal advantage to differentiate and prognosticate AHB and acute exacerbation of CHB with insights into viral kinetics and enrichment of HBV mutants
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in biomedical data science and bioinformatics, primarily using Julia and R. While this demonstrates deep domain expertise, the lack of diversity in project types or industries might indicate a narrow focus, potentially limiting adaptability to broader data science challenges outside of their specific research area. The single listed professional experience as 'Data Scientist' starting in the future (2026) suggests a lack of current or past professional experience, which could impact cultural fit in a fast-paced industry setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest an ability to work on complex, research-oriented problems, but no direct evidence of collaboration, communication, or stress handling is available.