About

Gayatri Degaonkar is a highly skilled Business Intelligence Engineer Intern at Amazon with a passion for data science and analytics. She holds a Bachelor of Engineering in Computer Science and is currently pursuing a Master's degree in Information Systems with a specialization in Data Science/Data Analytics at Northeastern University in Boston. Gayatri is an Artificial Intelligence enthusiast with a demonstrated history of working in the information technology and services industry. Gayatri is an experienced Python Developer with a strong inclination towards data fields. Her interest lies in analyzing data, making predictions, and helping to build strategies by visualizing it. She has worked as a Data Analyst intern and published and presented a research paper at an International Advanced Computing Conference on an Artificial Intelligence/Computer Vision-based project. Gayatri's technical skills include programming languages such as Python, Java, SQL, CPP, C, and C#.net. She is proficient in data visualization/development tools such as Tableau, PowerBI, Jupyter, Anaconda, Netbeans, Visual Studio, and Android Studio. She is also experienced in machine learning libraries such as Numpy, Pandas, Matplotlib, Seaborn, Scikit-learn, SciPy, Pyplot, OpenCV, and databases such as MySQL, Microsoft SQL Server, MongoDB, and Google Firebase. Gayatri also has experience in web development technologies such as HTML, CSS, Bootstrap, PHP, Javascript, JSON, JQuery, AJAX, Node, and React. She is proficient in Customer Relationship Management tools such as Salesforce and Five9 and has experience in version control using Git. In addition to her technical skills, Gayatri has experience working in various organizations. She worked as a Treasurer at Husky Systers Code and as a Senator at Graduate Student Government, Northeastern University. She is also a Teaching Assistant and Student Ambassador at Northeastern University. Gayatri is a highly motivated and talented individual with relevant experience of 1.68 years. She is AWS Certified and Tableau Certified, and her tech stack includes SQL, AWS, Python, Jupyter, Web, Computer Vision, Seaborn, OpenCV, Scikit, Javascript, ML, Data Scientist, Research Scientist, Pandas, PHP, MySQL, MongoDB, Salesforce, and Android.