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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
FeedSense.AI
Data Scientist
June 16, 2026 – Present
perceptron-tech-fest-RKMVERI
June 15, 2023 – June 15, 2023
This repository houses the files related to the Perceptron-2023 tech-fest organized by RKMVERI. It includes various resources and materials associated with the event. Please note that all properties and rights belong to RKMVERI.
View Projectiamkkmcmd
September 10, 2021 – January 5, 2025
This GitHub profile README repository showcases an informative and engaging README file for my GitHub profile. The README file provides a brief introduction, highlights my key skills and interests, and provides an overview of the projects and contributions I have made.
View ProjectR-scapper-for-collect-covid-19-data
November 16, 2020 – November 16, 2020
R-scapper-for-collect-covid-19-data — GitHub repository
View Projectcovid19-dashboard-india-shiny
November 16, 2020 – November 16, 2020
covid19-dashboard-india-shiny — GitHub repository
View Projectholmes-story-analysis
November 16, 2020 – January 28, 2023
Statistical Analysis of Sherlock Holmes Short Stories, A project report submitted for the partial fulfillment of the Master of Science in Statistics, VisvaBharati, Santiniketan.
View ProjectBeautyOfNature
July 10, 2020 – January 29, 2023
Around us, there are many very beautiful patterns (facts), which can be described as mathematical function. By shiny web application I want to show that, how natural beauty is described as mathematical function and angle. Shiny Web Application Link: https://iamkkm-cmd.shinyapps.io/BeautyOfNature/
View ProjectCultural Fit Analysis
The candidate's projects show a focus on data analysis and R programming, aligning with a Data Scientist role. The diversity of projects (e.g., COVID-19 data, spam classification, natural beauty as mathematical function) indicates a broad interest within the data science domain. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaborative cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.