Naveed Ahmed Janvekar is a Senior Data Scientist in the United States. He works on solving fraud and abuse problems on the platform that impacts millions of customers in the US and other parts of the world using Machine Learning and deep learning. He has 7+ years of expertise in the Machine Learning space which includes classification algorithms, clustering algorithms, graph modeling, BERT to name a few. He is using Machine Learning and Deep Learning to solve multi-faceted problems. He has a Master's degree in Information Science from The University of Texas at Dallas and graduated top of his class and awarded as scholar of high distinction and inducted in the prestigious International Honor Society Beta Gamma Sigma. He has a Bachelor's of Engineering in Electronics and Communications from India. He has worked with influential firms such as Amazon, Fidelity Investments and KPMG. In his current role he is researching on identifying novel fraud and abuse vectors on ECommerce platforms and using Active Learning to improve Machine Learning model performance.
More details can be found on his LinkedIn profile https://www.linkedin.com/in/naveedahmedjanvekar/