Bernard Djoko

About Bernard Djoko

In today’s data-driven world, businesses that harness AI and machine learning are…

Experience

1. Director Ai Ml, Genai & Agentic Ai

   Axtria - Ingenious Insights

   Jan 2024 — Present

   Key Achievements:• Retail Personalization: Developed a recommendation system that boosted product interaction by 25% and sales by 20%.• Risk Management: Built predictive models that cut credit risk assessment time by 30%, improving loan processing efficiency.• Healthcare AI: Created computer vision models that improved diagnostic accuracy by 35% and reduced manual review time by 40%.• GenAI for Competitive Intelligence: Designed a RAG & LLM-powered system to extract insights from financial reports, earnings calls, and regulatory filings, automating competitor benchmarking and enabling real-time market intelligence for financial institutions.• Marketing Optimization: Developed AI-driven A/B testing models, increasing conversion rates by 30% and boosting engagement for a global e-commerce client.Challenges Solved:• A global retailer struggled with engagement & cart abandonment. Led the development of a personalized AI recommendation engine integrated with A/B testing, increasing engagement by 25% and sales by 20%.• A finance client needed fraud detection improvements. Implemented AI models that cut fraudulent activity by 95% and false positives by 20%, enhancing compliance and reducing costs.• A financial services firm lacked real-time competitive intelligence. Built a GenAI insights platform using LLMs & RAG to automate competitor benchmarking, saving analysts significant research time.Role Summary:Lead AI & data science initiatives across finance, healthcare, retail, and marketing, delivering predictive insights, fraud prevention, and automation to drive ROI & innovation.Responsibilities:• Designed ML models for segmentation, fraud detection, and churn prediction.• Built AI-driven competitive intelligence tools for financial services• Led A/B testing strategies, optimizing marketing campaigns & product launches• Developed SQL-based data pipelines for real-time analytics• Integrated models with AWS SageMaker & Azure AI for scalability & efficiency

Education

• The Johns Hopkins University

  Master of Science (MS), Information Systems

• Virginia International University

  Certificate, Data Modeling/Warehousing and Database Administration

• University of Yaoundé I

  Master of Science (MS), Computer Science

• Massachusetts Institute of Technology

  Certificate, Artificial Intelligence

• University of Yaoundé I

  Bachelor's degree, Computer Science

• The Johns Hopkins University

  Master of Business Administration (M.B.A.)

• York University

  Certificate, Big Data Analytics & Predictive Analytics

• The Johns Hopkins University

  Certificate, Competitive Intelligence