Tamal Acharya

Tamal Acharya is a Data Science and AI enthusiast with a background in Post Graduation in AI and ML from Purdue University. His passion lies in solving complex real-world problems by combining his learning and teaching skills with data science and AI expertise. He is currently focused on exploring Quantum Computing and its applications in data science, AI, and ML.

With a wide array of skills including R, Python, SAS, Tensorflow, Keras, Deep Learning, Machine Learning, Neural Networks, and more, Tamal has worked on real-world projects and problems while also engaging in interdisciplinary research. His interests span across Quantum Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing.

Tamal has a strong educational background with a Post Graduate Program in Artificial Intelligence and Machine Learning from Purdue University. He has also excelled in Quantum Computing through courses like the Qiskit Global Summer School and The Coding School. Moreover, his professional experience includes roles at Tata Consultancy Services, HSBC, RainMan Consulting Pvt Ltd, and Ivy Professional School.

Engaging in various quantum computing workshops and hackathons, Tamal has showcased his skills and expertise in Quantum Machine Learning, Quantum Neural Networks, and other advanced AI technologies. His achievements include awards and recognitions like the Scholar Award for being in the top 2 at Purdue University and the 3rd prize for the best project at QWorld's QIntern2021 programme.