Gnana Prasath

Experience

• 

  Accenture in India

  May 2016 - May 2020

  Leading the development of innovative AI solutions to enhance customer engagement and operational efficiency. Key accomplishments include:AI-Powered Chatbot Development: Spearheaded a cross-functional team in creating an enterprise-grade chatbot that leverages artificial intelligence to deliver seamless customer interactions and support.Support Ticket Reduction: Achieved a remarkable 50% reduction in support tickets, significantly improving customer satisfaction and optimizing resource allocation within the support team.Analytics and Performance Reporting: Devised comprehensive analytics reports to track chatbot usage and performance metrics, providing valuable insights that drive continuous improvement and strategic decision-making. Show less Driving innovation in AI and machine learning to solve complex business challenges. Key accomplishments include:Resource Planning Optimization: Conceptualized and developed a cutting-edge machine learning system for resource planning, achieving an impressive 0.014 hamming loss. This system significantly enhanced allocation efficiency and decision-making processes.Public Safety Enhancement: Contributed to the development of an advanced public safety system utilizing YOLO (You Only Look Once) object detection algorithm. This state-of-the-art system improved real-time threat detection and response capabilities in complex environments.Professional Recognition: Awarded the prestigious Automation Prime certification in AI and Analytics by Accenture, acknowledging expertise in leveraging artificial intelligence and advanced analytics for business transformation. Show less Utilizing data-driven insights to enhance operational efficiency and drive business success. Key accomplishments include:Equipment Failure Prediction: Implemented a predictive maintenance model for equipment failure, resulting in a 10% increase in productivity by minimizing downtime and optimizing resource allocation.Web Scraping Expertise: Collaborated with the team to develop web scraping solutions using BeautifulSoup, efficiently extracting valuable data from various websites to support market analysis and decision-making.Timesheet Automation: Automated the employee timesheet submission process, streamlining data collection and ensuring accurate financial reporting to clients, which enhanced transparency and accountability. Show less

  • Application development Senior Analyst

    Dec 2019 - May 2020

  • Application Development Analyst

    Dec 2017 - Dec 2019

  • Associate Software Engineer

    May 2016 - Dec 2017
• 

  TheMathCompany

  Aug 2020 - Feb 2022

  Senior Associate

  Leveraging advanced analytics to drive strategic decision-making in the automotive industry. Key achievements include:Price Elasticity Modeling: Developed a comprehensive price elasticity model for one of the leading automobile manufacturers in the U.S., providing critical insights that inform pricing strategies and enhance revenue optimization.Scalable Framework Design: Created a robust framework capable of scaling across multiple business centers and various purchasing modes. This includes automated dataset creation, a streamlined model-building pipeline, and the delivery of constrained optimization results to support data-driven decision-making.Automated Recommendation Pipeline: Implemented an automated pipeline using Apache Airflow to facilitate weekly recommendations, ensuring timely insights and enhancing operational efficiency. Show less

• 

  Yubi

  Feb 2022 - now

  Driving innovation in real-time, scalable computer vision solutions to solve complex challenges. Key accomplishments include:1. Semantic Segmentation for Document Processing: Developed a state-of-the-art semantic segmentation model for precise document edge detection, enabling accurate preprocessing for downstream tasks.2. End-to-End Document Extraction Pipeline: Designed a robust pipeline integrating document edge detection, skew correction, angle classification, text detection, and recognition. Achieved exceptional efficiency with a processing time of ~0.5 seconds per image.3. API Development: Engineered a scalable and reliable API for document extraction with advanced features like logging and file hashing to enhance traceability and security.4. Cost Optimization with AWS Textract Alternative: Built an in-house document processing solution that replaced AWS Textract, significantly reducing operational costs while maintaining high accuracy.5. Advanced NLP Model Fine-Tuning: Fine-tuned the Llama 3.2 model for Named Entity Recognition (NER), surpassing the existing GLINER model by achieving a 10% improvement in accuracy. Show less

  • Lead Data Scientist

    Apr 2023 - now

  • Senior Data Scientist

    Feb 2022 - Apr 2023