Purbadri Ghosal

Design and implement machine learning, computer vision and NLP algorithms utilizing libraries like SciKit Learn, Pytorch, openCV, Streamlit, NLTK etc. Crafted chatbots for a globally launched product and CV-based solutions for small and medium enterprises. Demonstrated understanding of the complete ML project lifecycle, spanning from identifying business issues to maintaining models in production. Collaborate successfully with cross-functional teams on advanced analytics approaches such as machine learning, advanced statistical analysis, visual analysis, mathematical optimization, and simulation to analyse complex data sets. Evaluate model and analysis performance and check that business objectives were reached. Implement design thinking to the existing product and strategize market capture. Created blueprints and user interfaces of products using Figma.

Giving consultation in Python, Machine learning, Deep Learning, NLP, Computer Vision, Cloud platforms etc. Conduct online training sessions by providing practical use cases and assignments. Design, train, and deliver data science solutions using all modalities (tabular, text, image).

Data collection and exploratory analysis from clinical databases, public health repositories, etc. Designing and implementing neural network models to make ambulatory cardiac monitoring robust and efficient. Present research summaries in attractive dashboards using tables, descriptions and visualizations. Teach and instruct students in B.Tech level for their theory as well as practical classes.

Teaching undergraduate and postgraduate students subjects like Electrical Engineering, Digital Circuits, Neural Networks, Microprocessors and Microcontrollers, Circuit theory, Electrical and Electronic Measurements and supervising them. Conducting research and publishing papers in academic journals. Representing the university at conferences and delivering presentations. Providing demonstrations and supervising experiments and investigations. Preparing proposals to secure funding for research. Prepare documentation for National Board of Accreditation and AICTE review visits to ensure compliance.

Independently undertaking advanced research in the biomedical signal processing domain using ANN clustering techniques. Organizing relevant meetings associated with the research project to address any roadblocks. Contributing to the teaching profile of the department.

Coursework subjects: Neural Networks, Research Methodology (Directed Study). Research area: Artificial intelligence, biomedical signal processing using intelligent techniques, statistical analysis and model creation.

Awarded GATE scholarship from the Government of India for pursuing MTech.