Aspiring to excel as a Machine Learning Engineer, eager to apply proficiency in data analysis, deep learning, and predictive modeling to optimize business processes and foster innovation. Having strong problem-solving skills to deliver data-driven insights and facilitate informed decision-making.
Speech Emotion Recognition in Machine Learning - In this project, the emotion of a person is detected by the voice. The total data size is around 24GB The dataset was trained on several models live SVM and CNN.The maximum accuracy was obtained using CNN (90%)
Smoke Detection in Deep Learning - The project mainly focused on giving an output which would make a smoke detector to give a signal or not. The dataset had around 62000 data points. The ANN model has 2 hidden layers and trained the model with 100 epochs
TensorFlow Developer( DeepLearning.AI)
Fundamentals of Deep Learning (NVIDIA DLI)
NLP(DeepLearning.AI)
Leetcode: https://leetcode.com/sreya2704/
Linkedin: https://www.linkedin.com/in/sreya-thatipalli/
Github: https://github.com/sreyathatipalli