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Education

• Springboard Data Science Career Track, Certification. Advanced Machine Learning Specialization.Description : 550+ Hours of Hands-On Course Material, with 1:1 Industry Expert Mentoroversight, and Completion of 2 In-Depth Capstone Projects. Mastered Skills in Python,Sql, Data Wrangling, Data Visualization, Hypothesis Testing, and Machine Learning.
• Analyze Big Data and Make Data-Driven Predictions Through Probabilistic Modeling and Statistical Inference; Identify and Deploy Appropriate Modeling Methodologies and Machine Learning Algorithms in Order to Extract Meaningful Information from Unstructured Data for Decision Makingcompleted the Probability and Statistics Part of the Certification Including Some Machine Learning Projects.
• Intro to Probability and Statistics. Artificial Intelligence. Intro to Eecs i and Ii.Intro to Programming in Python. Machine Learning. Data Science.
• Scientific Computing and Data Analysis with Python (Numpy, Pandas). Machine Learning (Tensorflow).Data Visualization (D3, Json Apis and Ajax). Microservices (Npm, Node, Express, Mongodb, Mongoose). Quality Assurance (Chai).Front End Libraries (Bootstrap, Jquery, Sass, React.Js, Redux).Javascript Algorithms and Data Structures (Intermediate Algorithm Scripting, Es6, Debugging).Responsive Web Design (Html and Html5, Accessibility, Flexbox and Grid).