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Assessing your cultural and operational fit
iammurtaza.github.io
June 18, 2018 – June 18, 2018
iammurtaza.github.io — GitHub repository
View Projectmachine-learning-coursera-andrew-ng
February 23, 2018 – August 15, 2018
machine-learning-coursera-andrew-ng — GitHub repository
View ProjectIntent-Programming-NPTEL-Mobile-Computing-Course
February 4, 2017 – August 14, 2017
Understanding how intents work in Android.
View ProjectBenchmark-App
February 4, 2017 – August 14, 2017
SHA1 and MD5 computation testing CPUs raw performance. Lower the score, faster the CPU.
View ProjectMultiple-Complexities-Sorting-Programs
February 4, 2017 – February 4, 2017
Sorting programs in C++.
View ProjectData-Structures-In-Depth-Study
February 4, 2017 – February 4, 2017
Solving the various data structure problems and learning multiple approaches to those problems.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration across different technologies. However, the projects are predominantly personal and lack team collaboration or real-world business context, which might indicate a need for development in a collaborative professional environment. The target role is 'Data Scientist', and while there's a machine learning course, the overall project portfolio doesn't strongly align with typical data science responsibilities like data cleaning, feature engineering, model deployment, or statistical analysis beyond basic ML concepts. This suggests a potential gap in direct cultural fit for a production-oriented data science role without further development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.