About

Pooja Palod is an experienced Data and Applied Scientist at Microsoft with a passion for working in different aspects of Data Science. With over 4.6 years of relevant experience, Pooja has a keen interest in pre-training language models and natural language generation. She is a versatile professional who works throughout the complete lifecycle of deep learning problems starting from planning, ideation, data processing, development, and deployment. Currently, Pooja is working on generating natural and concise questions from documents for search suggestions in Bing. She has also contributed towards building data pipelines for streaming and batch processing of data. Prior to this, Pooja worked in the Bing Shopping team where she applied machine learning to add features like multiple seller and filters to the L2 shopping page. She owned and maintained the ads conflation pipeline responsible for stamping ads with catalog products. Pooja's technical skills include programming languages like Python and C#, data engineering and machine learning tools like Pandas, Numpy, Scikit-Learn, and SQL, and deep learning frameworks like PyTorch, Tensorflow, Keras, and NLP. She is looking for roles related to Data Science and Machine Learning and welcomes relevant opportunities. Pooja has a Master's degree in Computer Science from the Indian Institute of Technology, Bombay, and a Bachelor's degree in Computer Science from Shri Ramdeobaba Kamla Nehru Engineering College, Katol Road. She has also worked as a Teaching Assistant for various computer science courses during her time at IIT Bombay. Pooja's past companies include Microsoft, where she worked as a Data and Applied Scientist in the Bing Retail Catalog team, and IIT Bombay, where she worked as a Teaching Assistant. She has also studied at Sri Shivaji Science College and Vimaltai Tidke Convent. Pooja's tech stack includes research scientist, ML, deep learning, NLP, SQL, data scientist, backend, Keras, Scikit, language models, data engineering, Tensorflow, Pytorch, Python, Pandas, search, Naive Bayes, SVM, CNN, RNN, web, and infra. Overall, Pooja has 4.87 years of relevant experience and is an asset to any team in the Data Science and Machine Learning space.