sowjanya chennamaneni

• Worked on Open Vino for optimizing the pre-trained Machine Learning model. • Hands-on experience in deploying the Machine Learning model using Open Vino. • Present the summary of my work as a talk to the team. Tools: Open Vino, Jupyter Notebook Programming language: Python

• Tutored 300+ students for the Machine Learning course in M.Sc. Web and Data Science degree program. • Responsible for preparing, evaluating, and presenting solutions to the assignments and the exams. • The course covers classic machine learning algorithms like SVM, Random Forest, Linear Regression, Logistic Regression, KMeans, KNN, and Deep Neural Networks. Tools: Jupyter Notebook, OLAT Programming language: Python

• Implemented a model to detect anomalous sounds from the machines for their preventive maintenance. • Research-oriented internship and responsible for creating the entire Machine Learning pipeline. • Worked on different neural network frameworks (TensorFlow, PyTorch), different libraries (Pandas, NumPy), and Machine Learning algorithms from the Scikit-learn library. • Presented the results that I achieved during my internship to the team. Tools: Visual Studio, Git Programming language: Python

• Trained on Java and was a part of the project in which I was handling development and testing activities. • The project was on Agile methodology. I was involved in the design phase and planning activities. • Developed and tested REST APIs as a part of the project. • Recreated the problems in the test environment to analyze and solve them by making the necessary code changes. Was part of giving Knowledge transfer sessions to the clients and to the production support.

Data Science,Big Data,Machine learning,Artificial Intelligence,Semantic Web