Afnan Ansari

• Developed an XGBoost forecasting model using over 20 million financial transactions achieving a MAPE of 10%. • Built end-to-end ML pipelines including feature engineering, training, validation, and deployment. • Developed a RAG chatbot using Hugging Face and LangChain for enterprise knowledge retrieval. • Designed anomaly detection solutions for large-scale transaction monitoring.

• Developed AI-based solution including face recognition and voice transcription systems to automate patient verification. • Built a CNN-based image classification model using InceptionV3 and transfer learning for emotion classification tasks.

• Analyzed large-scale transactional and behavioral datasets to identify fraud risks and support data-driven decision making. • Evaluated automated fraud detection and quality assurance processes to improve workflow efficiency and operational accuracy. • Prepared analytical reports and risk assessments that enabled faster operational response and improved monitoring.

• Developed recommendation systems using collaborative and content-based filtering to improve personalization and user experience. • Built LLM-powered conversational AI solutions using GPT APIs and LangChain for automated customer interactions. • Designed biometric authentication solutions integrating facial and fingerprint recognition into production applications.