Baijnath Kumar

Project Lead – Gen AI-Powered Document Reconciliation
IBM | Apr 2024 – Present
Technologies: Azure OpenAI, Azure Document Intelligence, Databricks, OneDrive, Azure Blob

• Led design and deployment of a Gen AI solution to reconcile 3,000+ financial documents daily.
• Built AI-powered data extraction engine for structured, unstructured, and handwritten data.
• Reduced invoice cycle from days to same-day; 75%+ efficiency gain and 14 FTEs saved.

AI/ML Developer – Demand Forecasting & Product Segmentation
Nestlé | Jan 2024 – May 2024

• Built hierarchical forecasting models and product segmentation using clustering.
• Aligned models with business planning and supply chain requirements.

AI Engineer – Gen AI Tool Development & Chatbot Integration
IBM | Apr 2023 – Nov 2023

• Developed REST APIs using Flask with WatsonX.AI (Llama.Chat) for chatbot integration.
• Integrated chatbot into Power BI for interactive analytics.

Data Scientist & Automation Engineer
AVNET WCO | Oct 2020 – Nov 2022

• Built ML models for invoice prediction, AP/AR automation, and customer segmentation.
• Automated SFTP workflows and deployed models on IBM Cloud.

Business Transformation Consultant
Nestlé | Oct 2020 – Sep 2022

• Cleaned master data, automated reporting via Python & VBA, managed multi-million-row datasets.

RPA Developer & Data Analyst
[Company Name] | 2015 – 2019

• Developed bots using WinAutomation & Python for end-to-end RPA.
• Extracted and transformed data from documents and Oracle databases.

• AonHewitt | May 2011 – Oct 2014
• · Developed Excel macros (VBA) to automate manual processes, significantly improving reporting efficiency and accuracy.
• · Supported and enhanced data processing systems using advanced Excel functions and scripting.
• · Participated in requirement gathering sessions with stakeholders to understand, capture, and validate business needs for new reporting and automation initiatives.
• · Maintained and generated daily, weekly, and monthly reports, ensuring timely delivery and high data integrity.
• · Managed leave and attendance data for US-based employees, ensuring compliance with HR standards.

• Developed Excel macros to automate repetitive processes, enhancing accuracy and reducing manual effort.
• Supported and improved data processing systems using Excel, ensuring reliable and efficient data handling.
• Collaborated with business users during requirement gathering sessions to understand, capture, and validate new reporting and automation requirements.