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@BMC Software
Data Science and Machine Learning Internship
June 12, 2026 – Present
sign-language-detection
February 27, 2022 – April 18, 2022
sign-language-detection — GitHub repository
View ProjectFake_News_Detection
August 25, 2021 – August 25, 2021
Fake_News_Detection — GitHub repository
View ProjectChatbot-for-Biginners
July 1, 2021 – July 29, 2021
Chatbot-for-Biginners — GitHub repository
View ProjectConvert-PyTorch-model-to-Tensorflow
June 10, 2021 – June 10, 2021
Convert-PyTorch-model-to-Tensorflow — GitHub repository
View ProjectEmotion_detection_with_CNN
June 2, 2021 – January 29, 2022
Emotion_detection_with_CNN — GitHub repository
View ProjectHumanBodyPoseDetection
May 25, 2021 – June 9, 2021
HumanBodyPoseDetection — GitHub repository
View Projectdeploy-ML-model-with-webapp
August 28, 2020 – February 13, 2023
deploy-ML-model-with-webapp — GitHub repository
View Projectface-mask-detector
July 16, 2020 – February 24, 2021
face-mask-detector — GitHub repository
View Projectsocial-distance-detector
July 15, 2020 – October 3, 2023
social-distance-detector — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards practical application of machine learning, which aligns with an internship role focused on hands-on experience. The diversity of projects (computer vision, NLP, deployment) indicates a broad interest within the data science domain. However, the lack of team projects or detailed descriptions of contributions makes it difficult to assess collaboration or initiative beyond individual technical execution.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily highlights technical projects without details on collaboration, problem-solving approaches, or communication styles.