• Pursuing Master's Degree in Computer Science focused in Artificial Intelligence and Machine Learning at University of Cincinnati• Around 3 years of experience in the IT industry with established skill set in data analysis and programming, and understanding of industry verticals.• Around 2 years of experience in Automobile Modules and Testing.• Implemented Data Analysis with various tools such as the IPython notebooks.• Proficient in implementing various Machine Learning algorithms such as Linear Regression, Logistic Regression, Naive Bayes, Decision Tree,SVM, KNN, K-mean clustering.• Designed predictive models using Decision Tree, Naive Bayes, Logistic Regression, Cluster Analysis, K-mean clustering and Support Vector Machines.• Proficient in Applied Statistics, Exploratory Data Analysis and Visualization using matplotlib, seaborn, Pandas Bokeh, ggplot and Tableau.• Worked on data cleaning to ensure data quality, consistency, integrity using Numpy, Scipy and Pandas.• Proficient knowledge in managing a complete data science project life cycle including data collection, data preprocessing, exploratory data analysis and statistical methods, model building and model validation.• Extensive experience in Agile Methodology, Software development, Software Testing . • Extensively used software testing tools such as Cantata++ and VectorCAST for Unit testing and Functional testing for Braking module as safety standards of ISO 26262• Implemented SQL queries to manipulate data in various data environments such as Microsoft SQL Server and SQLite.• Involved in all phases of Software Development : Requirement Analysis, Design, Coding, Testing, Support and Documentation.• Awarded “Best Employee of the Month”, for handling a sub-project, and ensuring on time delivery.• Result oriented, innovative, committed, intellectually curious, passionate, and business savvy individual with effective communication and interpersonal skills.