YUGANDHAR SHILAWANE

Pioneered the development of a cutting-edge Auto-ML Framework for precise identification of fraudulent claims and records. Utilized a powerful stack of Machine Learning, Deep Learning, Django, MongoDB, AWS, and Python, demonstrating expertise in creating advanced data-driven solutions. Engineered and deployed sentiment analysis and facial recognition functionalities within the product, enriching data insights and ensuring a seamless user experience. Seamlessly integrated the bend of Open Sourced LLM and OCR services, enhancing the product's interactivity and providing natural language understanding for user queries and insights. Added various features using computer vision within the product.

Pioneered a fault detection system engineered to read live machine sensor data, employing cutting-edge clustering algorithms and Autoencoder Neural Networks for real-time anomaly detection. Successfully deployed, it plays a crucial role in proactively preventing machine breakdowns through automated predictive insights.

Designing and developing labelling software. Worked on a labelling tool for Geospatial data. Worked on regression modelling, requirement elicitation, documentation and testing.

Analysis of data collected with the help of a questionnaire. Tried to understand why and how Covid-19 changed people's habit of ordering food/visiting a restaurant. Created a report for Impact of Covid-19 on Online food delivery.