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Sreedutt Lingala

Machine Learning Fellow at Fellowship.AI

Sreedutt Lingala is a data scientist with a rich academic background and professional experience. Currently a Graduate student at SUNY Albany's Data Science, Mathematics, and Statistics Department, set to graduate in December 2020. Possessing 2 years 7 months of hands-on experience in the data science field, Sreedutt excels in Statistical Analysis, Data Mining, SQL, and Data Visualization using Tableau. Proficient in Python and R, with strong Machine Learning skills working with libraries like Pandas, OpenCV, TensorFlow, PyTorch, and more. Sreedutt has executed projects involving advanced deep learning algorithms such as AlexNet, VGG-19, ResNet-50, etc. Notable achievements include implementing an auto-tagging system for E-commerce websites and working on image localization using YOLO (You Only Look Once). Known for the ability to multitask, solve complex problems, and collaborate effectively with both business and technology teams to deliver tailored analytical solutions to clients.

Sreedutt Lingala
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Location

United States