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    Daniel D'souza

    Data Scientist at ProQuest

    Daniel D'Souza is a Data Scientist at ProQuest with a background in Machine Learning and Natural Language Processing from the University of Michigan, Ann Arbor.

    During his time at the University of Michigan, he focused on courses like Machine Learning, Natural Language Processing, Database Application and Design, Language and Information, Data Mining of Large Graphs, and Computer Vision.

    Previously, Daniel worked at Delphi Automotive as a Software Engineer, gaining experience in C++, Python, and MATLAB to develop automotive features.

    In his current role, Daniel leverages Python libraries like TensorFlow, PyTorch, and Keras to build and train ML/NLP models, with a preference for using pandas for data manipulation.

    He is proficient in AWS EC2 instances and Google Cloud Platform for model training and deployment.

    Daniel D'Souza actively shares his research and projects on GitHub and his personal blog to showcase his expertise and interests in the field.

    His educational background includes a Master of Science in Machine Learning and Signal Processing from the University of Michigan, a Bachelor of Engineering in Electrical, Electronics, and Communications Engineering from Gogte Institute of Technology, and a high academic achievement in Matriculate from St. Paul's High School.

    Besides his professional endeavors, Daniel has held roles such as Research Assistant at the Language and Information Technologies Lab at the University of Michigan, Founder of Aptitude Academy, Forbes Under 30 Scholar, Senior SEO Analyst at dotCORD, and Software Engineering Intern at ProQuest.

    Daniel D'souza
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    Location

    Ann Arbor, Michigan