Soumya Mb Email & Phone Number

Bengaluru, Ka, In

United Kingdom

• Developed and deployed 3 POC machine learning models for audio-based recruitment, utilizing NLP, speech recognition, and deep learning, increasing recruitment process efficiency by 75%• Implemented tone and emotion analysis using Generative AI models and LangChain framework, achieving 85% accuracy in emotional state detection

London, United Kingdom

Bengaluru, Karnataka, India

• Developed Software for 360-degree camera (Surround-view) to provide guidelines on the head unit depending on the vehicle motion, for Audi and Porsche customers.• Explored image rendering to render different shapes. majorly worked IPA(Intelligent park assist)• worked on version control.

Bengaluru, Karnataka, India

• Developed a POC on web development using Python, flask, and HTML to deploy the projects to clients, which helped in deploying nearly 5 projects to customers.• Implemented classification algorithms on healthcare claims to classify based on requirements and further performed data extraction to fetch key entities.• Automated the claim-clearing task for agents from entire manual typing to as easy as copy-pasting reducing human time by 95% using data extraction and summarizing.•… Show more • Developed a POC on web development using Python, flask, and HTML to deploy the projects to clients, which helped in deploying nearly 5 projects to customers.• Implemented classification algorithms on healthcare claims to classify based on requirements and further performed data extraction to fetch key entities.• Automated the claim-clearing task for agents from entire manual typing to as easy as copy-pasting reducing human time by 95% using data extraction and summarizing.• Built prediction models on TAT prediction for claims to help process optimization, which improved the process performance by 10%. Show less

Bangalore Urban, Karnataka, India

• Undergone entry-level training for 3 months which include theoretical understanding on various machine learning topics like Regression, Naive Bayes, Deep Learning, Gradient Boosting, Random Forests, SVMs, Neural Networks, and Natural Language Processing. • Received one-on-one sessions from mentors on understanding the healthcare industry, its data, and my role in benefiting the business.• Automation of manual processes resulting 90% productivity.

Master'S Degree, Artificial Intelligence

Electronics And Communications Engineering