OBJECTIVERecent graduate with a solid background in Engineering (Industrial, Mechanical, Computer); in-depth knowledge of data analytics, machine learning, software development, and data modeling.SUMMARY• Data/Statistical Analysis: Strong primary/secondary research skills developed by conducting surveys and extracting data sets. Project experiences to perform experiment design (A/B testing) and analysis and present results with data visualization to different groups of audiences• Development and production: Knowledge of development tool (Git, JIRA, and Visual Studio). Exposure to data management systems (DBMS) such as SQL Server and MySQL• Tools and Software: Python (i.e., Pandas, NumPy), SQL, Flask, Excel, Access, HTML and CSS, MATLAB, Simulink• ML Algorithm: Supervised and Unsupervised learning, clustering, Regression, NLP, RNN, CNN, Reinforcement Learning, Deep Learning, Experience with ML frameworks such as Spark ML, TensorFlow • Computational Framework (Big Data Analytic): Apache Spark, Hadoop, Yarn, Ambari, Zappelin, Hive