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School of Computational and Data Sciences, Vidyashilp University
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Vidyashilp University
Data Scientist
June 19, 2026 – Present
AL_SamplingWithRandomWeights
September 15, 2024 – Present
AL_SamplingWithRandomWeights — GitHub repository
View ProjectLCD
July 6, 2024 – July 18, 2025
Leveraging Diversity of Least, High Confidence Samples for Effective Active Learning
View ProjectResearch_UG_Classification_of_Nanomaterials
April 29, 2024 – August 26, 2025
Research_UG_Classification_of_Nanomaterials — GitHub repository
View ProjectDAA_CS2000_RVU
August 7, 2023 – December 19, 2023
Github repository of notes and source codes for the course CS2000: Design And Analysis of Algorithms
View ProjectAutoTune_CNN_TransferLearning
September 15, 2019 – November 11, 2020
Trying to fine tune the configurations of the convolutional layers of a deep learning architecture
View ProjectAutoFCL
May 20, 2019 – December 16, 2020
In this work, we find the structure of Fully Connected (FC) layers automatically using Bayesian Optimization in the context of transfer learning.
View ProjectRCCNet
March 9, 2019 – July 25, 2020
A CNN model which is responsible for classification of routine colon cancer cells.
View ProjectImpact-of-FC-layers
January 5, 2019 – January 21, 2020
This research is carried out to find the necessity of fully connected (FC) layers in CNN for image classification.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic/research-oriented machine learning tasks, which aligns with a data scientist role that involves model development and research. However, the lack of diverse project types (e.g., deployment, data engineering, business impact) and a single, future-dated work experience entry limits the assessment of broader cultural fit and adaptability to different operational contexts. The experience level is listed as 0, but a current role as 'Data Scientist' starting in 2026 is contradictory and suggests a potential data entry error or future role, making it difficult to accurately assess current cultural fit based on professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.