Amit Sharma

Background

About Amit Sharma

Experience with Artificial Neural Network, Deep Neural Network, Natural Language Processing, Chatbots, TensorFlow, Prediction, Clustering, Recommendation Systems and Narrative Science. Research and Development of machine learning pipeline, design of Optical Character Recognition (hand written) and Anomaly Detection System using Multivariate Gaussian Model. Designing and developing consistent reporting packages and dashboards using various BI solutions. Key team player and working with management and software development team to develop data science models as per business requirements with the Agile Technical Skills Programming Languages: Python (Numpy, Scipy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, Keras, NLTK, Gensim, Scrapy, NetworkX, Bokeh, Seaborn, Flask, Django, PyQT), R, SQL, PL/SQL, java, C++.• Machine Learning: Linear Regression, Logistic Regression, Decision Tree, SVM, Naïve Bayes, kNN, K-Means, Random Forest, Factor Analysis (EFA, CFA), Principal Component Analysis (PCA), Gradient Boosting, Word2Vec, ANOVA.• Big Data Technologies: Amazon Elastic MapReduce, Apache Hive, Apache Spark, Apache Pig, MapReduce, Hadoop, MongoDB.• BI and Analytics Tools: Tableau, SAS, WEKA, H2O, DataRobot, Rapid Miner, MATLAB, Qlikview, Qliksense, Tableau, Anaconda, jupyter notebook.• Databases: Oracle, MySQL, SQL Server, ProstgreSQL, DynamoDB.• Cloud: AWS, Azure (Data Factory, DataBricks, Logic App, API, Data Lake)