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Assessing your cultural and operational fit
DonorChoose-Deep-Learning
October 10, 2019 – October 10, 2019
DonorChoose-Deep-Learning — GitHub repository
View ProjectStackOverflow-Tag-Prediction
October 10, 2019 – October 10, 2019
StackOverflow-Tag-Prediction — GitHub repository
View ProjectQuora-Question-Pair-Similarity
October 10, 2019 – October 10, 2019
Quora-Question-Pair-Similarity — GitHub repository
View ProjectMalaria-Bounding-Box-
October 3, 2019 – October 3, 2019
Malaria-Bounding-Box- — GitHub repository
View ProjectImage_Brightness_Detection
September 15, 2019 – September 15, 2019
Image_Brightness_Detection — GitHub repository
View ProjectHuman-Activity-Recognition
September 11, 2019 – September 11, 2019
Human Activity Recognition | Accuracy > 95%
View ProjectPersonalized-Cancer-Diagnosis
August 20, 2019 – August 20, 2019
Personalized-Cancer-Diagnosis — GitHub repository
View ProjectFacebook-Friend-Recommendation-System
August 20, 2019 – August 20, 2019
Facebook-Friend-Recommendation-System — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are exclusively personal and heavily focused on machine learning/deep learning using Jupyter Notebook. While this shows initiative, the lack of diverse project types (e.g., web development, backend services, system design) and team-based work makes it difficult to assess broader cultural fit or adaptability to varied technical challenges. The target role 'Software Engineer' is broad, and the current project portfolio leans heavily towards data science/ML research rather than general software engineering practices.
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.