About

Aditi Singhal is a graduate student in Data Science with a passion for solving complex business problems using data. With over 4 years of experience in data science, Aditi has worked with various industries such as pharmaceutical, insurance, and energy markets to solve challenges in the areas of marketing, sales, and customer retention. She is proficient in using statistical and machine learning techniques on data and generating actionable insights from her analysis. Aditi enjoys working on teams where she can contribute and gain expertise on ideas related to multiple disciplines. Currently, Aditi is a Machine Learning Engineer at Azure, AI platform at Microsoft. In her previous roles, she worked as a Software Engineer at Microsoft and a Machine Learning Engineer at Blue Canoe. At Blue Canoe, Aditi leveraged Automatic Speech Recognition to identify consonant substitution errors in non-native English speaking. She also designed automated deployment pipelines of various machine learning models using AWS lambda functions and tensorflow serving. Aditi spearheaded the migration of all deployed models to Python3.6 from Python2.7 and refined deployment architecture, using layers in Lambda functions. Aditi's education background includes a Master of Science in Data Science from the University of Washington, a Bachelor of Technology in Instrumentation and Control Engineering from the National Institute of Technology, Jalandhar, and a 12th-grade education in Physics, Chemistry, and Maths from Delhi Public School, Jalandhar. Aditi's tech stack includes ML, Software Engineer, AI, Azure, Data Scientist, AWS, and Tensorflow. She has relevant experience of 7.94 years. Outside of work, Aditi enjoys hiking, cooking, and sketching.