Shaleen Jain Email & Phone Number | -- Proficient in research and development to solve real world problems -- Programming aptitude using C and Java -- Hands-on Python, Numpy, Scipy, Matplotlib, Pandas, PyQT, Machine Learning libraries such as scikit-learn Tensorflow, Keras -- Hands-on Matlab with Image Processing Toolbox, Statistical Toolbox -- Understanding of Machine Learning algorithms like Regression: linear regression, polynomial regression. Classification: logistic regression, KNN, decision tree, boosting, support vector machine, naïve Bayes. Dimensionality Reduction: principal component analysis. Clustering: K-means, Gaussian Mixture Model. Basics of Deep learning: CNN, RNN, LSTM -- Computer Vision, Graphics Pipeline and Visualisation Toolkit -- Embedded Systems: Arduino, Raspberry-Pi -- Data structures and Algorithms -- Object Oriented Programming and Design patterns -- Good communication, interpersonal, teaching and comprehension

Shaleen Jain

-- Proficient in research and development to solve real world problems -- Programming aptitude using...
Mumbai, Maharashtra, India

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Shaleen Jain’s Location Mumbai, Maharashtra, India

Shaleen Jain’s Current Industry Bhabha Atomic Research Centre

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Scientific Officer

2015-08-01 00:00:00 - Present

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Shaleen Jain is a -- Proficient in research and development to solve real world problems -- Programming aptitude using C and Java -- Hands-on Python, Numpy, Scipy, Matplotlib, Pandas, PyQT, Machine Learning libraries such as scikit-learn Tensorflow, Keras -- Hands-on Matlab with Image Processing Toolbox, Statistical Toolbox -- Understanding of Machine Learning algorithms like Regression: linear regression, polynomial regression. Classification: logistic regression, KNN, decision tree, boosting, support vector machine, naïve Bayes. Dimensionality Reduction: principal component analysis. Clustering: K-means, Gaussian Mixture Model. Basics of Deep learning: CNN, RNN, LSTM -- Computer Vision, Graphics Pipeline and Visualisation Toolkit -- Embedded Systems: Arduino, Raspberry-Pi -- Data structures and Algorithms -- Object Oriented Programming and Design patterns -- Good communication, interpersonal, teaching and comprehension