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June 5th

Regional Semi-Finals in Detroit

June 20th

Finals and Erie Hack Summit in Cleveland
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What Challenges interest you?

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ACCOUNT

Devansh Gupta

Team: Enigma

City: Cleveland

Challenges: Connect Communities to the Value of Water, Cultivate Resilience in Water Infrastructure Systems, Drive the Creation of Meaningful Data, Enable a More Equitable Water Future, Manage Aging Water Infrastructure Systems, Mitigate Nutrient Loading and Its Environmental Impacts, Reduce and Remediate Urban Pollution

Areas of Expertise: Ecological Engineering

Skills: Software Engineering

Soft Skills: Team Management

Programming Languages: C++, Python, SQL

Fervid programmer. Worked on projects with Tensorflow, to design and implement Deep Learning modules. Keen interest in Speech Recognition with Natural Language processing for different languages. -->Deep Learning models used in projects and various applications are: Recurrent Neural Networks, Convolutional Neural Networks, Transfer Learning, Deep Generative Models, Attention Networks, Self-Attention Networks, Encoder-Decoder, Auto-Encoder etc Word2Vec (SkipGram & CBOW), Doc2Vec -> Mainly used libraries for ML: Tensorflow, Sphinx ,Keras, NumPy, SciPy, Spacy, Scikit-Learn, Gensim, Stanford-CoreNLP, NLTK

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Registration

Please check you Expertise

What Technical Skills do you have?

What Soft Skills do you have?

What programming languages do you know?

What Challenges interest you?

What City would you like to join a team in.

ACCOUNT

Devansh Gupta

Team: Enigma

City: Cleveland

Challenges: Connect Communities to the Value of Water, Cultivate Resilience in Water Infrastructure Systems, Drive the Creation of Meaningful Data, Enable a More Equitable Water Future, Manage Aging Water Infrastructure Systems, Mitigate Nutrient Loading and Its Environmental Impacts, Reduce and Remediate Urban Pollution

Areas of Expertise: Ecological Engineering

Skills: Software Engineering

Soft Skills: Team Management

Programming Languages: C++, Python, SQL

Fervid programmer. Worked on projects with Tensorflow, to design and implement Deep Learning modules. Keen interest in Speech Recognition with Natural Language processing for different languages. -->Deep Learning models used in projects and various applications are: Recurrent Neural Networks, Convolutional Neural Networks, Transfer Learning, Deep Generative Models, Attention Networks, Self-Attention Networks, Encoder-Decoder, Auto-Encoder etc Word2Vec (SkipGram & CBOW), Doc2Vec -> Mainly used libraries for ML: Tensorflow, Sphinx ,Keras, NumPy, SciPy, Spacy, Scikit-Learn, Gensim, Stanford-CoreNLP, NLTK

CONTACT AGENT

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