Sarada Patra

Developed multiple end-to-end classification and predictive models, enhancing business decision-making processes. Led NLP projects, achieving over 90% accuracy in sentiment analysis and named entity recognition (NER), improving customer interaction and automating tasks. Developed and implemented OpenAI models and algorithms using Microsoft Azure technologies, alongside LLM models, to optimize business processes and improve efficiency which reduced time efficiency. Implemented text-to-speech (TTS) and speech-to-text (STT) systems, enabling seamless voice interaction solutions. Designed and optimized object detection models, achieving a 95% accuracy rate in image analysis and automation tasks. Conducted comprehensive data cleaning and preprocessing, ensuring the integrity and quality of datasets for accurate model training. Collaborated with cross-functional teams to integrate AI solutions into existing workflows by creating REST APIs, driving efficiency and productivity. Successfully integrated AI solutions for banking and travel clients, which are live and delivering high accuracy and performance. Built successful Proof of Concepts (POCs), resulting in 3 new contracts and adoption of solutions. Leveraged transfer learning and fine-tuning to achieve state-of-the-art performance in AI tasks, reducing model training time by 50%. Regularly presented findings and recommendations to stakeholders, effectively communicating complex technical concepts to non-technical audiences. Guided and mentored junior team members, providing support and assistance on various tasks, fostering a collaborative and learning-oriented environment. Stayed current with industry trends and advancements, continuously enhancing skills and applying best practices in data science and AI.

Developed and implemented NLP models to enhance the accuracy and performance of chatbots for banking and retail industries. Conducted data analysis and visualization to uncover patterns and insights that improved chatbot functionality. Worked closely with product managers, designers, and engineers to integrate chatbots seamlessly into larger systems. Tested and debugged the chatbots to ensure they maintained high accuracy and performance. Provided training and support to client teams, ensuring smooth adoption and continued operational success. Utilized state-of-the-art NLP techniques, such as transformer-based models and context-aware processing, to enhance chatbot capabilities.

Collected and cleaned data from various sources, such as databases and APIs. Collaborated with cross-functional teams, including software engineers and business analysts, to develop data-driven solutions. Conducted research on emerging data science topics and shared findings with the team to foster innovation and continuous learning. Assisted with data-related tasks such as data cleaning and processing. Worked on projects predicting the stock market from news articles for a client and conducted image classification for an agricultural company to detect the quality of items.