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Assessing your cultural and operational fit
Maayavisai
Data Scientist
June 16, 2026 – Present
Learning-Exploratory-Data-Analysis
December 31, 2018 – December 31, 2018
Exploratory Data Analysis.
View ProjectDensely-Connected-CNN-CIFAR-10
October 29, 2018 – October 29, 2018
Densely Connected Convolutional Networks(CIFAR-10 - Canadian Institute For Advanced Research)
View ProjectGunasekaran.Kuppayee.Sengodan.github.io
September 4, 2018 – September 4, 2018
My Profile Website
View Projectgunasekaran.k.sengodan.github.io
September 4, 2018 – September 4, 2018
My Profile Website
View ProjectChurn-rate-Prediction-for-Telecom-Company
August 5, 2017 – August 5, 2017
Subscriber churn rate Prediction for Telecom Company - using Logistic Regression analysis. Target segmentation for retention campaign & Revenue maximization forecast
View ProjectPredective-Analysis-Using-Logistic-Regression
August 5, 2017 – August 5, 2017
This data set has been collected as a part of a survey exercise done by a snacks manufacturer Bangalore. Snack manufacturer produces 6 different brands. The actual brand names have been masked and are present in the dataset as Brand A, Brand B, Brand C, Brand D, Brand E and Brand F. <Dataset Not Shared as of now> This manufacturer is interested in finding out what factors affect the perception for Brand A.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on data science and machine learning, which aligns with the target role. However, the projects are all personal, and there is only one listed professional experience with a future start date, making it difficult to assess team collaboration or broader cultural fit. The diversity of projects is moderate, but the descriptions are very brief, limiting insight into the candidate's approach or problem-solving style.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric test results are available.