About

Gauri Dhande is an experienced Data Scientist with a strong background in Machine Learning and Data Science. She has worked in the startup industry and has a proven track record of developing complex algorithms and data visualizations. Gauri is skilled in Speech Recognition, HTML, and Machine Learning, and has a Master of Technology degree in Computer Engineering from KJ Somaiya College of Engineering, Vidyavihar. Gauri is currently working as a Data Scientist at Eaton India Innovation Centre, where she is responsible for fetching data from various sources, analyzing and interpreting data, and building complex algorithms to get helpful insights. She is also working on failure modes and fault codes detection using classification algorithms. Gauri is collaborating with multiple codes on Azure Repos and building end-to-end deployment code in Spark using Azure Databricks. Prior to Eaton, Gauri worked as a Machine Learning Engineer at Sesovera and Gaia, where she worked on machine learning on the edge, researched and developed ML models to recognize audio speech, and tested the models on real datasets to improve their accuracy. She also prepared and preprocessed raw data using libraries such as numpy, sklearn, and librosa, and performed feature engineering on audio files using mel-scale ceptral co-efficients and various filter banks using the python-speech-features library. Gauri's education history includes a Master of Technology in Computer Engineering from KJ Somaiya College of Engineering, Vidyavihar, and a Bachelor of Technology in Computer Science and Engineering from Shri Guru Gobind Singhji Institute of Engineering and Technology, Vishnupuri, Nanded. Gauri's technical skills include Data Science, Research Science, ML, Neural Networks, Deep Learning, Azure, Databricks, Python, Spark, AI, language models, Scikit, Random Forest, Hyperparameter, CNN, RNN, Normalization, and Pandas. With 4.53 years of relevant experience, Gauri is a highly skilled and accomplished Data Scientist with a passion for developing innovative solutions using Machine Learning and Data Science.