Skills & Abilities. • Hands on experience in formulating statistical and analytical methodology, building models, decision making, identifying trends and patterns with data. • Passionate to utilize open-source analytical tools such as R to build and deploy predictive models, generate actionable insights from large data and convert these into business strategies that could drive revenues or improve customer satisfaction for the company. • Hands on exercise using complex analytical tools, such as advance Excel, R and Python. • Good knowledge in PowerBI/Tableau/Qlik for Data visualization tools. • Basic knowledge on SQL • Good Knowledge on advance statistical and machine learning techniques such as Chi Square test, Linear Regression, Logistic Regression, Decision Tree, Random Forest etc. • Hands on in Deep learning methodologies such as Convolution Neural Networks/ Recurrent Neural Networks. Libraries such as Kera’s, TensorFlow etc. • Proven ability to dig-in and understand the data and to leverage creative thinking and problem-solving skills to solve business problems. • Strong analytical/logical thinking and communication skills. • Good problem-solving skills along with high leadership quality and able to work independently and in a team environment setting. • Excellent presentation and customer management skills. Experience on DS/ML 1. Worked on Natural Language Processing project to Enhance the accuracy of search bar on website for the user query. Word2Vec algorithm is used for word embeddings. Python is used to build the model. 2. Worked on Health prediction for Semiconductor devices based on the data from device sensors over a period of time. Classification algorithms are used to predict device health.