About

Arpit Banerji is a highly skilled Data Scientist with over 3 years of experience in handling unpredictable data and working on various projects to increase growth rates and automations in organizations. He is currently working as an Associate Data Scientist at UnitedHealth Group and has previously worked with PhonePe and Instasolv as a Data Scientist and Machine Learning Engineer respectively. Arpit is a tech-geek by nature and is always eager to learn more about ML-AI and other surrounding technologies. He is experienced in EDA, model development, as well as deployment and is a free-lancer as well. Arpit believes that working with AI is tricky, molding your model as per the needs is practice, coming-up with a perfect model is experience, and experience is where you start understanding your data rather than your model. Arpit has a Bachelor of Technology in Computer Science, specialized in Cloud Computing and Virtualization from Galgotia University, and is currently pursuing his Master of Technology in Data Science and Engineering from Birla Institute of Technology and Science, Pilani. He also has a Post Graduate Program in Artificial Intelligence from the University of Texas at Austin. Arpit's technical skills include Data Science, Research Science, ML, AI, Python, Deep Learning, Computer Vision, Django, AWS, Recommendation system, Keras, Neural Networks, CNN, Selenium, Kubernetes, MySQL, Microservices, Text Classification, Random Forest, Web, Software Engineer, Sagemaker, RNN, Image Processing, NLP, test, qa, Docker, Tensorflow, Azure, and Senior Software Engineer. Arpit has recently published a paper at IEEE IIT: IC-NET, which is a deep and lightweight convolutional network architecture capable of detecting COVID-19 from chest X-rays. Arpit is a researcher and innovator and is always looking for new challenges to learn and grow.