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Summary:
Summary:
PhD student at Northern Illinois University.Â
PhD student at Northern Illinois University.Â
I like coding and love to analyze data, draw out insights, apply machine learning models and predict valuable & beneficial outcomes.
I like coding and love to analyze data, draw out insights, apply machine learning models and predict valuable & beneficial outcomes.
I have about 7+ years of experience in Data Science and Java domains. I have worked on many tools and technologies like Java, Python, R, Tableau, Machine Learning, Deep Learning.
I have about 7+ years of experience in Data Science and Java domains. I have worked on many tools and technologies like Java, Python, R, Tableau, Machine Learning, Deep Learning.
I specialize in Machine learning and Deep Learning having interests in making regression, classification models as well as clustering algorithms. Additionally DL models that use ANN, CNN and RNN intrigue me. My goal is to work on ML/DL projects more specifically those which are closely associated with Computer Vision Technologies.
I specialize in Machine learning and Deep Learning having interests in making regression, classification models as well as clustering algorithms. Additionally DL models that use ANN, CNN and RNN intrigue me. My goal is to work on ML/DL projects more specifically those which are closely associated with Computer Vision Technologies.
Technical Skills::
Technical Skills::
- Programming Skills : Python: Numpy, Pandas, Mattplotlib, PyTorch, Keras, Scikit-Learn, NLTK, Tensorflow, Scrapy.
- Programming Skills : Python: Numpy, Pandas, Mattplotlib, PyTorch, Keras, Scikit-Learn, NLTK, Tensorflow, Scrapy.
- Machine Learning : Regression, Classification, Clustering, Association Rule, Reinforcement Learning.
- Machine Learning : Regression, Classification, Clustering, Association Rule, Reinforcement Learning.
- Deep Learning Specializations : Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Network (with LSTMs), Gated Reccurent Units (GRU), Self-Organizing Maps, Boltzmann Machines, Auto Encoders.
- Deep Learning Specializations : Artificial Neural Networks, Convolutional Neural Networks, Recurrent Neural Network (with LSTMs), Gated Reccurent Units (GRU), Self-Organizing Maps, Boltzmann Machines, Auto Encoders.
- Natural Language Processing : Bag of words, Seq2Seq, Greedy and Beam Search Decoding, Attention Mechanism.
- Natural Language Processing : Bag of words, Seq2Seq, Greedy and Beam Search Decoding, Attention Mechanism.
- Computer Vision : Single Shot Multi-Box Detector (SSD), OpenCV, Generative Adversarial Networks (GAN).
- Computer Vision : Single Shot Multi-Box Detector (SSD), OpenCV, Generative Adversarial Networks (GAN).
- Data Structures : Stacks, Queues, Lists, Trees, Searching, Sorting and Graphs.
- Data Structures : Stacks, Queues, Lists, Trees, Searching, Sorting and Graphs.
- Databases : Oracle, MySQL, PostgreSQL.
- Databases : Oracle, MySQL, PostgreSQL.
- Visualization Tools : Tableau, matplotlib, seaborn, plotly.
- Visualization Tools : Tableau, matplotlib, seaborn, plotly.
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