Anirudh Sistla Email & Phone Number | I am Software Engineer,Data Scientist,Machine Learning enthusiast ,Interested in the field of software engineering,Data Scientist,Machine Learning, Computer Vision, Deep Learning , Actively looking for Full Time opportunities. Pursuing Master's in Electrical and Computer Engineering, Northeastern University. Programming Languages: Python, C++,JAVA, Bash/Shell scripting •Databases: MySQL, SQL Server, Azure Cosmos DB •Big data ecosystem and cloud:Apache Spark, Azure(Basic) •Machine Learning: Regression, Classification, Clustering, Dimensionality Reduction, SVM, Decision Trees, Random forest, Boosting Methods, Neural Networks, Deep Learning, CNN, RNN, LSTM, GRU, VAE, GAN •Computer Vision:Image Segmentation, Object Detection, Object Tracking •Libraries:Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy, Pytorch, Keras, Tensorflow •Tools:Azure Databricks, Jira, Bitbucket, Confluence, MATLAB, Git, Google Colab, Visual Studio code, Pycharm, LinuxOS, Anaconda, Jupyter Notebook, Excel.

Anirudh Sistla

I am Software Engineer,Data Scientist,Machine Learning enthusiast ,Interested in the field of softw...
Austin, Texas, United States

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Anirudh Sistla’s Email asistla@amazon.com

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Anirudh Sistla’s Location Austin, Texas, United States

Anirudh Sistla’s Current Industry Amazon

Anirudh Sistla’s Prior Industry Vesta | Northeastern University

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Software Engineer

2022-08-01 00:00:00 - Present

Data Scientist co-op

2021-07-01 00:00:00 - 2022-01-01 00:00:00

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2021-01-01 00:00:00 - 2021-07-01 00:00:00

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Anirudh Sistla is a I am Software Engineer,Data Scientist,Machine Learning enthusiast ,Interested in the field of software engineering,Data Scientist,Machine Learning, Computer Vision, Deep Learning , Actively looking for Full Time opportunities. Pursuing Master's in Electrical and Computer Engineering, Northeastern University. Programming Languages: Python, C++,JAVA, Bash/Shell scripting •Databases: MySQL, SQL Server, Azure Cosmos DB •Big data ecosystem and cloud:Apache Spark, Azure(Basic) •Machine Learning: Regression, Classification, Clustering, Dimensionality Reduction, SVM, Decision Trees, Random forest, Boosting Methods, Neural Networks, Deep Learning, CNN, RNN, LSTM, GRU, VAE, GAN •Computer Vision:Image Segmentation, Object Detection, Object Tracking •Libraries:Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, Scipy, Pytorch, Keras, Tensorflow •Tools:Azure Databricks, Jira, Bitbucket, Confluence, MATLAB, Git, Google Colab, Visual Studio code, Pycharm, LinuxOS, Anaconda, Jupyter Notebook, Excel.