Madhan Seduraman

• Design & architected scalable solutions using Machine Learning, Deep learning, AI cognitive services, to solve real insurance business problems. More than 7 AI solutions have deployed to production and delivered business benefits.
• New open sourced LLM models, Open AI services leveraged for upgrading or integrating existing AI solutions, chatbots boost efficiency gains, enhance business value, insurance STP rates and chat bot effectiveness.
• Build roadmaps for AI projects, chat bot projects & RPA projects from strategy workshops and execute projects in right prioritized sequence to deliver maximum benefits.
• Evaluate business processes, classify & design automation projects for RPA, Intelligent Automation & Artificial Intelligence, Machine Learning.
• Direct, Lead and Manage team of Data Scientists & Automation Engineers to review project progress, provide consulting & mentoring technically in the field of AIML, RPA, solution architecture, etc.
• Offer training sessions on Prompt engineering, AIML topics to drive adoption of AI across organization.
• Lead the developmental work under Machine Learning, Deep Learning, NLP, Computer Vision projects using python, jupyter notebook, azure platforms, etc.
  Review & provide detailed solutioning of applications of AIML & Deep Learning algorithms & build a scalable AI solution for production deployment.
• Ensure SDLC process is strictly adhered in AIML, RPA projects that are planned, executed & delivered. Ensure solutions are built with the organization engineering team’s involvement to adhere to the CI-CD pipelines & associated processes

• Solutions Lab: Build AI solutions, products, micro services by ideating new use cases in areas of NLP, NLU, NLG, Machine Learning & Deep Learning. Proactively build Prototypes, Develop, Test algorithms to solve business problems; Liaise with business stakeholders, automation delivery managers to identify, build & deploy solutions related to NLP, CV, machine learning (& DL) projects.
  Lead team of Data Scientists & also hands-on worked on NLP, Machine Learning & Deep Learning projects. Built solutions on NLP, NLU, Text Similarities, Text Summarization, rule engines based on regex, NLTK, Scikit Learn, Text Classification models, DNN, CNN, LSTM models using Tensfor flow & Keras, Gensim, Wordnet, spacy, etc…
  Build solution architecture leveraging Azure platform, other multiple technologies like Blue Prism, UI Path, OCR, Cognitive Services in Azure, Python or C# scripts, ML or DL models, Azure ML workspace & other technologies to solve end to end business problems.

• Led 11 improvement projects spanning IT Operations, Application Development & Maintenance (AD&M), Insurance Business Processes, and Travel & Logistics Processes. Introduced DART (Data Analysis & Reasoning Techniques) training for Managers & above, utilizing analytical skills to forecast AHT for voice processes and execute regression modeling for volume inflow projections. Conducted end-to-end customer satisfaction surveys and action planning workshops, delivering various training programs including Yellow Belt, Blue Belt, Lean, and Data Analytics to enhance quality standards. Organized Kaizen Events, Lean AWO, Value Stream Mapping workshops, and Statistical Process Control deployment, culminating in the successful management of the ACIS OPEX Day event and winning the Asian Outsourcing Leadership awards for OPEX innovation.

• Led Black Belt projects aligned with business goals and customer satisfaction, focusing on reducing Transport Cost in the Measure Phase and diminishing Discount Lost % in Invoice Processing during the Improve Phase.
• Mentored over 12 Green Belt projects to enhance Turnaround Time (TAT), boost productivity, reduce cycle time, and minimize Discount Lost%. Provided consultation and mentorship for Yellow Belt Projects, deploying Quality Tools and operational techniques like Heijunka (Level Loading).
• Spearheaded Kaizen ideas, ensured their successful implementation, and tracked progress for certification.
• Conducted Value Stream Mapping sessions to identify and address Non-Value Added Activities, driving mitigation plans. Led DNA Drive initiatives, delivering training modules on Yellow Belt, Green Belt, and White Belt levels, covering topics ranging from TQM and Lean Philosophy to Six Sigma methodologies. Additionally, ensured validation of Service Level Agreements (SLAs) for efficient operations.

• Developed methodologies, practices, and processes for establishing data quality metrics and conducting due diligence studies. Identified and documented Service Level Agreements (SLAs), managed DQ transitions, and finalized Critical to Quality (CTQ) metrics.
• Led Quality Drive initiatives, providing training on Lean Methodology, Basic & Advanced Statistics, and Yellow Belt sessions. Drove Lean projects to enhance productivity and implemented Six Sigma projects for BPM-related initiatives, including Green Belt Projects focusing on improving Timeliness % in US Corporate Bonds and Escrow documents processing productivity.
• Created End-to-End Process flows to identify Value-Added (VA) and Non-Value-Added (NVA) activities, employing Time & Motion studies to derive process enhancements. Analyzed Quality Index and Management Information Systems (MIS) reports to identify trends and formulate mitigation plans.
• Initiated Kaizen efforts through Root Cause Analysis (RCA) to pinpoint areas for improvement and continuously implement preventive actions. Implemented Statistical Process Control (SPC) methodologies across teams to monitor common and special cause variations.

Developed methodologies, practices, and processes for establishing data quality metrics and conducting due diligence studies. Identified and documented Service Level Agreements (SLAs), managed DQ transitions, and finalized Critical to Quality (CTQ) metrics. Led Quality Drive initiatives, providing training on Lean Methodology, Basic & Advanced Statistics, and Yellow Belt sessions. Drove Lean projects to enhance productivity and implemented Six Sigma projects for BPM-related initiatives, including Green Belt Projects focusing on improving Timeliness % in US Corporate Bonds and Escrow documents processing productivity. Created End-to-End Process flows to identify Value-Added (VA) and Non-Value-Added (NVA) activities, employing Time & Motion studies to derive process enhancements. Analyzed Quality Index and Management Information Systems (MIS) reports to identify trends and formulate mitigation plans. Initiated Kaizen efforts through Root Cause Analysis (RCA) to pinpoint areas for improvement and continuously implement preventive actions. Implemented Statistical Process Control (SPC) methodologies across teams to monitor common and special cause variations.