Udit Kumar Bhola

Experienced Analytics professional with over 8 years in Data Science, Business Analytics, Product Management, and Big Data. Skilled in leveraging analytics to develop solutions that drive business growth. Adept at using industry knowledge, contextual understanding, and a critical approach to uncover solutions to complex business challenges.

Education
1. Bachelor of Technology-Electrical Engineering 
 2. Post Graduate Diploma in Operations Research Management 
3. Post Graduate Programme in Data Science, Business Analytics and Big Data
Work Experience
A highly motivated and accomplished Senior Manager and Lead Data Scientist with 8+ years of experience leveraging data science, machine learning, and Generative AI to drive impactful solutions within the asset management industry. Proven ability to lead cross-functional teams, foster global collaborations, and deliver innovative solutions that enhance investment research, portfolio management, and sustainable investing practices. A consistent top performer with a track record of awards and recognition for contributions to AI-driven projects, specifically for applications of Generative AI. Recipient of multiple awards including NASSCOM AI AWARD, Achievers Award, M&G Stars finalist and Icon of the Year. Engaging with high-seniority stakeholders and fund managers. Currently pursuing MBA from IIM, Ahmedabad to further enhance business acumen and leadership capabilities. 

Nature of Work
Udit specializes in the end-to-end development and deployment of cutting-edge AI/ML solutions, with a particular emphasis on Generative AI applications. He is actively involved in designing and implementing Retrieval-Augmented Generation (RAG) systems, leveraging both open-source and proprietary Large Language Models (LLMs) to create intelligent tools for information retrieval, content generation, and predictive modeling. This includes building and fine-tuning AI agents for automated tasks and decision support, streamlining document processing through intelligent extraction techniques, and developing analytical pipelines that translate diverse data sources into actionable insights for investment strategies. His work also involves close collaboration with stakeholders, developing interactive dashboards, and building ETL pipelines to facilitate data-driven decision-making across the organization. He has delivered solutions using Azure OpenAI, LangChain, LlamaIndex and Vector DB.

Profile

  • Batch Year:2024-26
  • Experience: 8 Year
  • Industry: Banking, Financial services and Insurance
  • Organisation: M&G Plc
  • Email: bpgp24udit@iima.ac.in
  • Phone: XXX-XXX-1925
  • Social connect: LinkedIn | CV