About

Prateek Khandelwal is an experienced data scientist and modeller with a wealth of experience in statistical and mathematical modelling in the domains of IoT, text, and vision. He earned his Bachelor's degree and Master of Technology degree in Engineering Design from the prestigious Indian Institute of Technology Madras, where he also conducted research in statistical modelling and published papers on the subject. Prateek has worked with some of the top companies in the industry, including JP Morgan, Aditya Birla Group, and Bosch. He is currently serving as the AVP of Data Intelligence and Client Services at JP Morgan, where he is responsible for consolidating clients' credit, holding, and trades data to understand their portfolio. He has also developed a pipeline to assess millions of transactions on a daily basis, integrated market datasets, and developed a Tableau dashboard to provide better insights for client strategy. In addition to his work at JP Morgan, Prateek has also worked on speech-related modelling, including speech recognition, speaker identification, and fraud detection. He has trained and fine-tuned models on speech-related tasks and worked on audio deepfake to protect clients. Previously, Prateek served as the Lead Data Scientist and Sr. Data Scientist at Aditya Birla Group, where he worked on advanced analytics models involving vision, NLP, and tabular data. He also worked on traditional machine learning, including automated process anomaly detection and network optimization with constraints, and deep learning-based projects, including object detection, facial recognition systems, and intrusion detection models. Prateek is proficient in a wide range of technologies, including Python, computer vision, NLP, TensorFlow, object detection, deep learning, CNN, word2vec, ML, SQL, AWS, Jupyter, reinforcement learning, NLU, Keras, GPT, data engineering, Spark, Scikit, Big Data, dotNET, Docker, neural networks, Hadoop, search, PyTorch, and Apache Hive. He has 7.7 years of relevant experience and is highly skilled in statistical and mathematical modelling, data analysis, and machine learning.