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Assessing your cultural and operational fit
uva
October 11, 2019 – February 3, 2020
All Problem solved from All CP platforms (though repo name is just uva)
View ProjectRecommendation-Letter
August 26, 2019 – August 26, 2019
Recommendation-Letter — GitHub repository
View ProjectAirline-Data-Analyzer-using-Data-Mining
November 20, 2018 – November 20, 2018
Airline-Data-Analyzer-using-Data-Mining — GitHub repository
View ProjectEmoji-predictor-using-Deep-Learning
November 20, 2018 – November 20, 2018
Emoji-predictor-using-Deep-Learning — GitHub repository
View ProjectHome-automation-using-IOT
November 20, 2018 – November 20, 2018
Home-automation-using-IOT — GitHub repository
View ProjectK-nearest-neighbours-ML
October 24, 2018 – October 24, 2018
K-nearest-neighbours-ML — GitHub repository
View ProjectAlgorithms-Library
October 24, 2018 – October 24, 2018
Algorithms-Library — GitHub repository
View ProjectGenetic-Algorithm-AI
October 24, 2018 – October 24, 2018
Genetic-Algorithm-AI — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-driven learning and project initiation, as evidenced by numerous personal GitHub repositories. The diversity of projects, from deep learning to IoT and competitive programming, suggests a broad technical curiosity. However, the lack of team-based projects or detailed descriptions makes it difficult to assess collaboration style or alignment with specific team cultures. The target role of 'Data Scientist' aligns with several of the candidate's ML/AI-focused projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication within a team context.