
I am a research scholar working with the advisor Dr Debarka Sengupta, Computer Science and Center for Computational Biology Department, IIIT Delhi.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
The-cellular-basis-of-the-loss-of-smell-in-2019-nCoV-infected-individuals
March 25, 2020 – January 28, 2024
A prominent clinical symptom of 2019-nCoV infection is hyposmia/anosmia (decrease or loss of sense of smell), along with general symptoms such as fatigue, shortness of breath, fever, and cough. The identity of the cell lineages that underpin infection associated with loss of olfaction could be critical for the diagnostics/clinical management of 2019-nCoV infected individuals. Angiotensin I Converting Enzyme 2 (ACE2), and Transmembrane protease serine 2 (TMPRSS2) are emerging as associated host receptors vital for viral entry. Accordingly, the ongoing medical examinations and the autopsy reports of the deceased individuals strongly corroborate with the organ/cell-type-specific expression of ACE2, TMPRSS2, and other putative viral entry-associated genes. To determine the cellular basis of anosmia upon 2019-nCoV infection, we employed a targeted bioinformatic analysis of single-cell expression profiles of human olfactory epithelium cell-types. Our results underscored selective expression
View ProjectiCTC
February 25, 2020 – December 14, 2022
The goal of iCTC is to detect whether peripheral blood cells have CTCs (circulating tumor cell) or not.
View ProjectROSeq
December 4, 2019 – February 16, 2021
ROSeq - A rank based approach to modeling gene expression with filtered and normalized read count matrix. Takes in the complete filtered and normalized read count matrix, the location of the two sub-populations and the number of cores to be used.
View ProjectiCTC_paper
January 26, 2019 – October 20, 2023
Label free enrichment and characterisation of single circulating tumor cells
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and heavily focused on bioinformatics/biomedical data analysis. While this shows dedication, the diversity of projects and technologies outside this niche is limited. This might indicate a strong preference for specific problem domains, which could impact cultural fit in a broader Data Scientist role without a strong bioinformatics focus. The lack of professional experience or team projects also limits the assessment of collaborative fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.