A motivated, ambitious data science enthusiast responsible for deriving business values from the data. Having strategic ability to analyze data, predicting future of data by designing, implementing and evaluating various machine learning models to provide new insights to business’s mission. Utilizing the following tools for design and implementations: • Programming: Python, SQL, Bash. • Libraries: Pandas, NumPy, Matplotlib, Seaborn, Sklearn, Tensorflow, Keras. • Techniques used: Regression, Clustering, Decision tree, Random Forest, Recommender system, KNN, Cross-validation, Neural network (CNN and RNN). • Databases: HANA, MSSQL. • Key Interest: Machine Learning, Deep Learning.
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