Data scientist with a passion to solve real-world business challenges using data analytics, Statistics and Machine learning models with languages like python, R, SQL and visualize the insights with reporting tools like Qlik view and Tableau.• Good knowlege on Data Preparation and Hypothesis testing in R for statistical modeling• Hands on experience on Linear Regression, Logistic Regression, Decision Tree, Random forest, extra trees, XGboost and SVM• Experience in working with unsupervised learning like segmentation or clustering• Have good exposure on cloud computing server AWS.CAREER HIGHLIGHTS--------------------------• Created End-to-End Deep learning model with the help of Tensorflow library of tracking the human poses from video, images and webcam and made detection of yoga poses from the video feed and store the sub clip part of the video feed.• Deployed a web scrapping model for education purpose using Django, a python web frameworkAREAS OF EXPERTISE--------------------------Data Analysis, Data mining, Distributed computing, Data Visualization, Predictive Modelling & Analytics, Sentiment Analysis, Regular Expression, Web Scraping, Big Data Queries and Interpretation, Machine Learning, Statistics, SQL, Python language, R language, Business analystCERTIFICATIONS--------------------------• KPMG Data Analytics Consulting Virtual Internship• Data@ANZ Program Virtual Internship