Durga Sahithi Dunaboyina

Data-driven Data Analyst & Python Developer with a master’s in data Analytics Engineering from George Mason University. Proficient in Python, SQL, R, and C++, with hands-on experience in data visualization, machine learning, and database management. Strong analytical thinker with expertise in building predictive models, writing efficient queries, and automating data workflows. Passionate about leveraging big data and statistical analysis to drive business insights.

• Python for Data Science, Social Networks & IOT: NPTEL (National Programme on Technology Enhanced Learning)
• Full Stack (Angular JS, TypeScript, NodeJS, MongoDB, Express JS): COURSERA
• Convolution Neural Networks: COURSERA

Big Data to Information Project:                                                                                                                                    08/01/22 - 12/01/22 

• Analyzed U.S. dairy data to explore trends in production, consumption, imports, exports, and pricing.
• Used R for visualization, Oracle SQL for data extraction and querying, and Python for analysis.
• The data was sourced from the USDA Economic Research Service, including consumer indexes, trade data, pricing, and milk production.

Applied Statistics and Visualization for Analytics:                                                                                                    8/01/22 - 2/01/22 

• Curated and preprocessed a dataset of car features and prices for analysis.
• Performed EDA to identify trends and present insights through visualizations.
• Applied linear regression and machine learning algorithms to model price predictions.
• Assessed model performance using RMSE to select the most accurate model.

Android App for Online Doctors Appointment:                                                                                                        03/01/21 - 05/01/21

• Integrated strong security for login validation and used MongoDB for efficient data management.
• Collaborated on user interface development while enhancing functionality with Java, SQLite, HTML, and CSS.

Face Mask Detection:                                                                                                                                                         10/01/20 - 12/01/20 

• Developed and trained face mask classifier using the TensorFlow and Keras frameworks on a dataset that was carefully chosen.
• Implemented OpenCV to seamlessly integrate the application with the camera functionality.

• Analytical & Problem-Solving
• Strong Communication
• Teamwork
• Detail-Oriented
• Multitasking