About

Mansi Mehta is a highly skilled Data and Analytics technology/Machine learning engineer, currently working at PwC as an Associate. With over 6 years of relevant experience, she is an expert in ML, SQL, NLP, and test automation. Mansi has a strong educational background, having completed a Certificate in Quantum Computing from The Coding School in 2021, a Bachelor’s Degree in Electronics & Communication Engineering from Government Engineering College, Ghandhinagar in 2015, and an Engineer's Degree in Electronics and Communication Engineering from Government Polytechnic for Girls, Ahmedabad in 2012. In her current role at PwC, Mansi is responsible for database validation using Hive/SQL, preparing automation scripts for the validation process, and working on various projects such as ServiceNow text classification using NLP, chatbot development using RASA framework, and anomaly detection for automating the validation process. Prior to joining PwC, Mansi worked as a Machine Learning Engineer at Omdena, where she built an NLP tool to improve natural disaster and water resource management with a collaborator and mentor team. She was responsible for data wrangling, NLP modeling (LSTM, Word2vec, word embedding), data geotagging (Mordecai, Cliff annotator), and scraping tasks. She also worked on satellite data collection, exploratory data analysis, and data visualization. Before that, she was an Alpha Tester at Deeplearning.ai, where she was responsible for checking assignments and providing feedback for better course performance and learner experience. Mansi is proficient in various technologies such as AWS, AI, Word2Vec, Apache Hive, Android, Image Processing, Deep Learning, SDET, Docker, Data Scientist, TensorFlow, iOS, Mobile, Frontend, and Backend. With her strong technical skills and experience, she is a valuable asset to any organization she works with.