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CS @ KIIT University | Mozilla | International Spelling Bee | AI - DevOps - Cybersecurity | JPMC Intern | WQU Data Science Honors | Table Tennis
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Assessing your cultural and operational fit
mozilla-bbsr
Data Scientist
June 20, 2026 – Present
stanfordnlp
Data Scientist
June 20, 2026 – Present
MLOps-Project
July 18, 2020 – August 15, 2020
Projects completed under LinuxWorld Informatics Ltd. - MLOps Training.
View ProjectAWS-EKS-Project
July 8, 2020 – August 15, 2020
Project completed under LinuxWorld Informatics Ltd. - AWS EKS Training.
View ProjectAI-chatbot-cybersecurity
June 5, 2020 – June 11, 2020
Project includes an AI contextual chatbot built using the tensorflow and tflearn library. Used concepts of Natural Language Processing (NLP) and Neural Network.
View ProjectMLOps-Contiguous-Accuracy-Attainer
June 4, 2020 – August 15, 2020
Project Includes python script (which runs in an MLOps environment) with the task of auto training Models until a desired accuracy is achieved.
View ProjectSingle-Cell-RNA-Sequence-Analysis_Cancer
May 30, 2020 – May 30, 2020
Project includes an R pipeline created using Bioconductor and Seurat to preprocess and clean scRNA sequence datasets, perform Principal Component Analysis and identify anomalous differential gene expression.(In Progress)
View ProjectHeart-Disease-Classification_Random-Forest
May 30, 2020 – May 30, 2020
Project includes a Random Forest algorithm to detect heart disease in patients on the basis of 14 physiological attributes.
View ProjectMalaria-Detection_CNN
May 27, 2020 – August 15, 2020
Project includes a CNN Model which successfully classifies blood cell images into malaria infected and uninfected category with an accuracy of 95% and a recall of 93%.
View ProjectDevOps-Assembly_Line-Project
May 6, 2020 – April 13, 2021
Projects completed under LinuxWorld Informatics Ltd. - DevOps Assembly Lines Internship.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards individual contributions and personal learning. The listed 'experience' entries with future dates and 'isCurrent: false' or 'isCurrent: true' for future dates are unusual and cannot be accurately assessed for cultural fit or real-world collaboration. The diversity of projects (MLOps, AI Chatbot, scRNA analysis, CNN for image classification) indicates a broad interest in data science sub-fields.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.