Amar Mandal is a Senior Data Scientist with six years of experience translating deep mathematical and statistical expertise into production ML and DL systems across retail, finance and voice assistant domains. Trained as a mechanical engineer, he pivoted into data science and brings a practical systems mindset to problems in computer vision, NLP and large-scale model deployment using TensorFlow, PyTorch and AWS Sagemaker. At Intelligence Node he has driven client-facing solutions for brands like John Lewis, Kroger and Prada, and previously improved voice and video assistants at Jio through data curation, automation and KPI-driven analysis. Comfortable across Python, JavaScript, SQL and NoSQL stores, he pairs hands-on engineering with visualization and BI tools to close the loop from prototype to production. Notably, his background in mechanical engineering and SAE Baja team experience gives him a rare focus on robust, production-ready design and iterative experimentation.
6 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Mechanical Engineering, Bachelor's degree, Mechanical Engineering at SIES Graduate School Of Technology
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