About

Gauri Yewale is an experienced Data Scientist with a strong background in Python, Data Visualization, Predictive Analytics, and ML/DL. She holds a Master's degree in Information Systems from the University of Maryland - Robert H. Smith School of Business. Currently, she works as a Machine Learning Engineer at Pensa Systems. Gauri has 4.69 years of relevant experience in the information technology and services industry. She has previously worked as a Data Scientist at Hitachi, where she led data preprocessing tasks in a cross-functional team of 8, resulting in efficient data annotation, segmentation, and validation. She also trained a deep learning model using Python, Keras, Tensorflow leveraging AWS GPU-based AMI to classify defects in sewer pipes. Additionally, she built a vehicle license plate detection module leveraging YOLO, Keras, Tesseract & Python3 for a Digital Evidence Management System, which yielded 90% accuracy. She has also developed a multi-class image classifier using a Convolutional Neural Network (CNN), Keras, Tensorflow 2.0, and Python3 with the goal to accurately recognize the food category. Prior to her role at Hitachi, Gauri worked as a Marketing Data Analyst at Giftsle, where she strategized KPIs, designed, and managed a Google Ad Search campaign with a budget of $250 to achieve the client’s goal to augment brand awareness and website traffic. She also tracked, visualized, and gained insights from Google Analytics metrics like bounce rate, avg. session duration, page views, and the conversion funnel. Gauri's technical skills include ML, Keras, Deep Learning, Data Scientist, Research Scientist, CNN, Python, Tensorflow, AWS, Object detection, Hyperparameter, Object Detection, Neural Networks, and Search. She is a strong engineering professional with a demonstrated history of working in the information technology and services industry.