Vikrant is a seasoned technology professional with a wealth of experience in project/product ownership, system analysis, software development, debugging, and testing methodologies. He has worked in three continents (Asia, Europe, and North America) across a variety of business verticals. Work-Authorization (USA): H-1B I-140 Status : Approved Employment Preference: FTE (No W2) Employment sponsorship (USA): Mandatory Technical Expertise: ★ Hands-on experience in the disciplines of Data Science,ML (Deep Learning) using Natural Language Processing (Conversational AI &Text Classification), Big Data Analytics, Predictive Analytics & Business Intelligence ★ Rich experience of executing projects in iterative incremental development environment using Agile methodologies by practicing Agile (Kanban, Scrum, TDD and BDD) methodologies, Waterfall development and ITIL approaches ★ Proficient in performing ETL analysis of DWBI (Data warehouse and Business Intelligence) systems, java-based automation design and execution, and testing of iOS and Android applications using mobile devices and software emulators Management Competence: ★ Providing the vision for architecture and technology modernization for a cloud hosted solution -Maintaining consistency and quality of development and solutions across tracks ★ Successfully builds professional relationships to inform and influence sponsors and key stakeholders, senior, and executive leadership to promote success of the program ★ Has a proven track record of software deliveries, strong strategic vision and demonstrated ability to inspire mentor and managing projects and diverse teams ★ Has outstanding leadership, interpersonal and communication skills Business Vertical Expertise: ★ Vikrant has worked with the major industry giants including JP Morgan Chase Bank, Cardinal Health, Compass Food Buy, Magellan Health, AT&T, Symantec, eBay Commerce, Openwave Inc, British Telecom and Canon Europe for large-scale engagements having products and solutions in diverse technology stacks Technical Skill Set: Data Science Libraries : NumPy, Pandas, Matplotlib , Seaborn , pickle, Flask, scikit-learn Deep Learning Frameworks: Pytorch, Keras Machine Learning Classifiers : Neural Networks, Linear Regression, Logistic Regression, Naïve Bayes, SVM, k-nearest neighbors Programming Languages: Python 3.x, Java, PL/SQL Databases: Oracle, MySQL, MS SQL Server