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Assessing your cultural and operational fit
IIITB_Group_Interview_Q_A
August 22, 2017 – October 22, 2017
Machine Learning Contributions from IIIT Bangalore PGDDA Batch 2016_2017
View ProjectPredictive-Maintanence-CSC
January 8, 2017 – March 20, 2017
Predicting Machine failures using distinct machine learning techniques
View ProjectRule-mining-project
January 5, 2017 – January 6, 2017
Association Rule mining for calculating market basket analysis
View ProjectLinear-Regression
November 29, 2016 – November 29, 2016
Linear-Regression — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, aligning with a Data Scientist role. The diversity of projects (EDA, rule mining, predictive maintenance, object detection, GenAI, semantic search) indicates a broad interest in different aspects of the field. However, all projects are personal, and there is no information on collaborative work or team contributions, which are crucial for cultural fit in a professional setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.