Graduate Student pursuing Master’s Degree in Data Science at Indiana University Bloomington with a background in Computer Engineering. Passionate about finding solutions to real-world business problems by searching for underlying patterns and trends for given data. Experience: • Former Applied Scientist - Machine Learning Intern at Amazon • Data Scientist Intern at SoftvanGithub: https://github.com/Utsav37Skills:• Machine Learning: Classification, Regression, Clustering, Decision Trees, Random Forests, Time Series, Naïve Bayes, Support Vector Machines, Probabilistic Graphical Models. • Deep Learning: MLP, CNN, RNN, LSTM, GAN, Auto-Encoders• Python Libraries: Scikit-learn, Keras, TensorFlow, PyTorch, NumPy, Pandas, OpenCV, NLTK, matplotlib, seaborn, StatsModels• Programming Languages: Python, R, SQL, Java, C, C++• Data Analytics: Mining, Munging, Modeling, Exploratory Data Analysis, Data Integration, Visualization, Hypothesis Testing, Predictive Analysis• Cloud Platforms: Amazon Web Services, Google Cloud, Azure. • Version Control Tools: Git• Data Integration & BI Tools: Tableau• Frameworks and Databases: Apache Spark, MS SQL Server, Oracle, MySQL, PostgreSQL, SQLite, MongoDBGithub: https://github.com/Utsav37