SHAGUN KHURANA

Led the development and optimization of a Generative AI chatbot, significantly enhancing user engagement and system efficiency.

• Built a GenAI chatbot utilizing LangChain and HuggingFace, achieving 95% accuracy on test queries for enhanced conversational AI.
• Tested and enhanced 6+ product features, increasing user engagement by 20% during the testing phase.
• Optimized prompt engineering strategies, accelerating chatbot response time by 30% and enhancing relevance scores by 25%.

Applied advanced mathematical and computational methods using Python to solve complex problems, significantly increasing efficiency.

• Applied Linear Algebra, Calculus, Statistics, and Numerical Methods to solve complex mathematical problems using Python (NumPy, SymPy, SciPy).
• Reduced manual computation time by 90% through the development of efficient Python scripts and visual outputs.

Performed comprehensive data collection, cleaning, and visualization to provide actionable insights for team operations.

• Collected and cleaned over 10,000 records from online sources using Python, ensuring high data integrity for analysis.
• Designed 3+ Power BI dashboards with data storytelling capabilities to present actionable insights to stakeholders.
• Defined Key Performance Indicators (KPIs) for team operations, driving data-driven decision-making across reports and dashboards.

Engineered a voice-enabled, multilingual AI assistant for legal professionals, significantly streamlining document processing and research.

Developed and deployed a real-time anomaly detection system with explainable AI capabilities for enhanced security operations.

Deployed a production-ready fraud detection system, enhancing real-time transaction security and minimizing financial losses.

Achieved second place in a competitive technical event, demonstrating strong problem-solving and technical skills.

Recognized as a top 10 finalist in a demanding inter-college hackathon, showcasing innovative thinking and rapid prototyping abilities.