About

Parth Valani is a highly skilled Data Engineer at Deloitte with a passion for data gathering, preprocessing, and manipulation, as well as building and deploying predictive models. With over 1.35 years of relevant experience, Parth has honed his skills in a range of areas, including software development, natural language processing, computer vision, machine learning, deep learning, big data analytics, and more. Parth's experience includes building, validating, and deploying ML/DL models in AWS Sagemaker, as well as hands-on project experience in various areas. He has worked as a Software Developer at TCS and a Data Science Intern at Bluebit Technologies, where he contributed to developing and deploying an ML pipeline to predict seasonal sales of flight tickets. He also played a key role in preprocessing the data to prepare it for model training and merged CNN and RNN models on a weekly basis using an ensemble learning approach. Parth holds a Master of Science degree in Computer Science from Lakehead University, which he completed in 2021, and a Bachelor of Engineering degree in Information Technology from L.D College of Engineering, which he completed in 2015. His TechStack includes a range of skills, including data engineering, deep learning, ML, AWS, software engineering, computer vision, Sagemaker, NLP, big data, ETL, data science, CNN, and RNN. Overall, Parth Valani is a highly skilled and motivated data engineer with a passion for using his skills to build and deploy predictive models. With his extensive experience and broad range of skills, he is well-equipped to take on a range of data engineering challenges and drive success for his team and his clients.