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Mohit S.
Chandigarh, India
96% Job Success
Top Rated

Data Scientist|Machine Learning & Deep Learning |Android Developer

A Machine Learning & Deep Learning engineer with primary focus on Natural Language Processing, Predictive Modelling ,Statistical Modelling And Computer Vision. I have been building real world applications using novel Machine learning & Deep Learning techniques. Beside This i have a vast experience in the field of Android Application development. I have also developed Android applications Using tensorflow. Machine Learning 3+ years experiences, Algorithms, Deep Learning (Deep Neural Networks), Metrics, Evaluations, Unsupervised learning: Clustering, Dimensionality reduction Supervised learning: Classifications, Regression Use Cases: Time Series Forecasting, Foreign Exchange (FOREX), Stock Exchange, Healthcare Recommendation Systems Output prediction Online advertising - recommended advertisements for individual user Online advertising - prediction of the propensity to convert (buy) Natural Language Processing (NLP) - chat bots (from scratch) Error detection, correct value prediction Data security Fraud detection Find outliers Algorithms worked on : Used machine learning algorithms: Linear Regression, Logistic Regression, Decision Trees, Ensemble Models, Random Forest, XGBoost, Neural Network (also on GPU), PCA, LDA, SVM, SVD, Lasso, Ridge, Elastic Net, ARIMA, K-Means, RNN, LSTM Hands-on expertise with a range of deep learning tools: * Tensorflow, Keras, TensorRT, PyTorch,Caffe and Theano expert using CUDA backend. * Distributed network training (across CPUs/GPUs). * Data processing: pandas, dask, h5py, Spark.Proficient in building/training cutting-edge, novel neural architectures across various verticals. Familiar with latest research involving DNN, CNN, RNN / LSTM, seq2seq, attention models. Proficient in building/training cutting-edge, novel neural architectures across various verticals. Familiar with latest research involving DNN, CNN, RNN / LSTM, seq2seq, attention models. Used machine learning algorithms: Linear Regression, Logistic Regression, Decision Trees, Ensemble Models, Random Forest, XGBoost, Neural Network (also on GPU), PCA, LDA, SVM, SVD, Lasso, Ridge, Elastic Net, ARIMA, K-Means. Language proficiency: Java/Kotlin, C, Cpp, Python, Machine learning, Deep Learning Libraries: Tensorflow, scikit-learn, keras, opencv,numpy,pandas,Theano,Caffe,PyTorch Platform: Core Java/Java EE/Android/ ML Database: MySQL, SQL-Server, Oracle DB No-SQL Database: Firebase And MongoDb Design Patterns: MVC, RxJava, Dagger 2 APIs: RESTful API Data Structure, Django, Flask I have high work ethics and ensure to deliver the best quality of work to my client. I only undertake jobs that I know I can do well.
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Skills

  • Python
  • Kotlin
  • Web Service
  • SQLite Programming
  • MySQL Programming

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