Lifelong technologist, pragmatic software developer and experienced machine learning practitioner with a passion for bringing innovative business solutions.  A dynamic professional with approx. 6.5+ Years of experience. 
 Experience in Machine Learning, Predictive Analytics, Statistical Modelling and Visualization Techniques 
 Knowledge and Experience of statistical analysis tool: - Python (numPy, SciPy) and TensorFlow.
  Experience of Native Mobile (Android, IOS ) Java, Objective-C, Swift  Experience of iOS Machine Learning, ARKit, Vision API  Experience of Web and Scripting Technologies (NodeJS, PHP, Swift, Python)
  Exposure and Experience in Statistical Modeling techniques – 
 Linear regression
  Logistic regression 
 Decision Tree & Clustering, 
  Time Series Modeling, 
  Market Basket and Marketing Analytics 

  Supervised and Unsupervised learning, 
  Artificial Neural Networks & Naive Bayes. 
 Text Analytics 
 Support Vector Machines
  Anomaly Detection etc Specialties: ◠Mobile & Web Technologies ⇨ iOS, Android, Laravel, Mean Stack, Augmented Reality Neural Networks, Vision API, ARKit, FFMpeg, ◠Machine Learning ⇨ Deep Learning, Classification, Unsupervised Learning, Regression, Feature Extraction, Data Visualization, Time Series Analysis, Signal Analysis, Neural Networks, AutoEncoders, Deep Belief Networks, RBS, Dimensionality Reduction, NLP, Decision Trees, Ensembles, Boosting ◠Computer Vision ⇨ Deep Learning, Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN), Object Detection, Object Tracking, Segmentation, Classification, High Performance
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