About

Sayali Nakashe is a Software Development Engineer at Amazon with a passion for data science and software engineering. With a Master's degree in Data Informatics and a Bachelor's degree in Computer Science, Sayali has a strong educational background in the field. She has 2.43 years of relevant experience, including a Data Science Internship at QSC and a Student Developer position at Kiana Analytics under the course professional practicum. Sayali is an inquisitive professional who enjoys solving complex problems and believes asking the right questions is key to achieving success. She has a strong team-player mentality and enjoys collaborating with different kinds of people to learn from their experiences. Sayali is particularly interested in working with non-structured data and statistical analysis, and she prefers to understand the math behind ML/DL rather than just superficial applications. In her previous position at Kiana Analytics, Sayali designed a model to predict energy usage using real-time visitor behavior analytics. She also implemented Machine Learning models for Occupant Prediction and Trajectory Clustering, executing XGBoost on spatio-temporal data, KMeans, and DBScan for clustering with RMSE of 0.09. Sayali employed Qlik Sense Framework for data visualization. Sayali's tech stack includes Software Engineering, Data Science, ML, Deep Learning, and XGBoost. She loves to travel and can talk about computers for hours. Sayali's goal is to continue growing as an individual and professional, and she is always open to new opportunities and challenges. Feel free to contact her on her email id!