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Indraprastha Institute of Information Technology
Data Scientist
June 16, 2026 – Present
Project_Bifidobacterium
September 8, 2025 – Present
Gut microbiome features associated with Bifidobacterium colonization predict personalized probiotic persistence patterns
View ProjectUroBiome-CAKUT-pilot80
May 30, 2025 – Present
This Repository contains all the codes and analyzed data of Urine Microbiome of Children with CAKUT. This is the Pilot study of 80 Microbiomes. We are coming-up with the more data and with more exploration of Urine Microbiome at different aspects.
View ProjectHACK_index_2024
June 1, 2024 – January 26, 2025
Contains all the codes and initial data used for this study
View ProjectIIITD-AIIMS-ITB-Study
May 19, 2023 – May 23, 2023
The repository contains the data and the codes utilized for the investigations performed as part of a study profiling the gut microbiome and mycobiome alterations in Intestinal Tuberculosis and Crohns' Disease patients.
View ProjectAgeMetaAnalysis
August 6, 2021 – July 5, 2022
Codes and Data corresponding to the meta-analysis investigating age-gut microbiome interactions in seven major microbiome data repositories
View ProjectBreastMilkMicrobiome
May 27, 2021 – May 27, 2021
Contains the Filtered High SILVA Database used for the 16S sequence annotation
View ProjectJeffeyIBS
February 18, 2021 – March 3, 2021
The folder contains the primer and barcode information for the samples used in the study: Jeffery IB, O'Toole PW, Öhman L, Claesson MJ, Deane J, Quigley EM, Simrén M. An irritable bowel syndrome subtype defined by species-specific alterations in faecal microbiota. Gut. 2012 Jul;61(7):997-1006.
View ProjectJefferyIBS
February 18, 2021 – February 18, 2021
The folder contains the barcode and primer information information for the samples used in the study:
View ProjectTravellerHealthMetAnalysis
February 24, 2020 – July 19, 2021
Codes and RData files of the key analysis of TravellerHealth
View Projectage_aware_disease_microbiome_association
November 15, 2019 – December 10, 2020
age_aware_disease_microbiome_association — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project history is heavily focused on academic and research-oriented bioinformatics, primarily using R. While this demonstrates a strong analytical background, the diversity of technologies and project types is limited. The target role is 'Data Scientist', which can be broad. The current experience as 'Data Scientist' at an institute aligns with a research-heavy profile. Cultural fit would depend on the specific nature of the 'Data Scientist' role and whether it requires a strong research background or broader industry experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate a research-oriented approach, which may translate to strong analytical and problem-solving skills, but direct evidence of collaboration, communication, or stress handling is not available.