Ashwini Jadhav

Collected, cleaned, and preprocessed datasets for machine learning models. Built, trained, and evaluated models using frameworks like TensorFlow and Scikit-learn. Developed AI agents and integrated them into functional applications. Hosted and fine-tuned large language models (LLMs) for specific use cases. Automated data pipelines and created visualizations using Python libraries. Conducted model optimization through hyperparameter tuning and performance analysis. Collaborated with teams and documented processes for reproducibility. Applied AI/ML solutions to real-world problems, such as predictive analytics and NLP.

Provide technical assistance for software and network issues, resolving technical problems with a customer-focused approach. Assisted in the deployment and configuration of IVR systems, ensuring seamless integration with backend systems and improving customer interaction workflows. Collaborated with AI and voice recognition teams to integrate Natural Language Processing (NLP) models into the IVR system for enhanced voice-based customer service. Troubleshot and resolved IVR-related issues, including call routing, voice recognition failures, and database connectivity problems. Supported the integration of IVR with CRM systems, automating customer data retrieval and updating during interactions.

Leveraged data sourcing and analysis to match candidates with client requirements, showcasing strong analytical and decision-making skills.