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Assessing your cultural and operational fit
dash-leaflet-heroku
September 20, 2020 – September 20, 2020
dash-leaflet-heroku — GitHub repository
View ProjectExplore-and-Summarize-Data
September 27, 2017 – September 29, 2017
Explore-and-Summarize-Data — GitHub repository
View ProjectIdentify-Fraud-from-Enron-Email
September 23, 2017 – September 25, 2017
Identify-Fraud-from-Enron-Email — GitHub repository
View ProjectCompute-Statistics-from-Cards-Drawn
September 8, 2017 – September 8, 2017
Compute-Statistics-from-Cards-Drawn — GitHub repository
View ProjectTest-a-Perceptual-Phenomenon
September 6, 2017 – September 28, 2017
Test-a-Perceptual-Phenomenon — GitHub repository
View ProjectUdacity-MongoDB
September 5, 2017 – September 5, 2017
Udacity-MongoDB — GitHub repository
View ProjectRanking-of-Association-Rule-towards-Smart-Decision-for-Smart-City
September 4, 2017 – September 5, 2017
Ranking-of-Association-Rule-towards-Smart-Decision-for-Smart-City — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven approach to learning and applying data science concepts. The diversity of project topics, from mapping applications to fraud detection and association rule mining, suggests a broad interest within the data science domain. However, without professional experience or detailed project descriptions, it is difficult to fully assess cultural fit beyond a general enthusiasm for the field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.