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Assessing your cultural and operational fit
sanbercode_final_project
July 12, 2020 – July 12, 2020
FinalProject Sanbercode Repository
View ProjectPrediction-Model-on-Data-With-Unknown-Features
May 27, 2020 – May 27, 2020
Using K Nearest Neighbors - Machine Learning method to create prediction model on data with unknown features.
View ProjectWine-Prediction-using-Machine-Learning
May 27, 2020 – May 27, 2020
Create model to predict wine class based on its features using Support Vector Machines method.
View ProjectNLP-Naive-Baiyes_spamPrediction
May 22, 2020 – November 4, 2020
Using machine learning method to classify YouTube comment as spam or not spam.
View ProjectPrincipalComponentAnalysis
May 13, 2020 – May 13, 2020
Using PCA method to get deep insight of features of the dataset.
View Projectloan-payment-prediction
May 8, 2020 – May 8, 2020
Using decision tree and random forest ML methods to predict whether a loan fund applicant will do fully payment of their debt or not.
View Projecttitanic_ML_logreg_prediction
May 1, 2020 – May 1, 2020
Using logistic regression method to try to predict titanic ship passenger survival.
View Projectsimple_SQL_operations
April 30, 2020 – April 30, 2020
Simple sql operations to get oldest persons' information.
View Projectinsurance_charge_prediction
April 30, 2020 – May 12, 2020
An attempt to predict insurance charge of someone given their common personal information.
View ProjectCOVID-19-Global-Numbers-in-Choropleth-Map-Python-
April 14, 2020 – April 14, 2020
Global covid-19 from January - mid April 2020 cases visualized in map style using plotly.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on individual machine learning model development, which aligns with the technical aspects of a Data Scientist role. However, the lack of team projects, diverse industry applications, or contributions to open-source initiatives limits the assessment of broader cultural fit and collaboration potential. The projects are all personal, indicating self-driven learning but not necessarily experience in a collaborative professional environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication, logical reasoning, work attitude, stress handling, or team collaboration.