Apr 2025 – Jul 2025 · 3 mos · Gurugram, Haryana, India · On-site

Jul 2024 – Apr 2025 · 9 mos · Bengaluru, Karnataka, India · On-site

• Boosted web scraping efficiency by 30% with Selenium and Asyncio, extracting data from 35 airlines and 2 OTAs concurrently for predictive modeling.
• Architected an airline competitive intelligence platform leveraging Python for concurrent data processing and MongoDB for scalable storage, reducing analysis time by 50% across 9 key performance dimensions for 150+ airlines.
• Designed modular solutions to enhance ratings calculation efficiency by 40%, leveraging weighted averages, normalization methods, and adaptive data handling for precise and scalable airline performance evaluation.
• Refined data pipelines with more than 80 automated triggers to efficiently analyze airline sales, revenue trends, and fare fluctuations, guaranteeing seamless data processing with zero downtime
• Built a Gen-AI Agent using LangChain and LLMs, enabling real-time streaming and adaptive interactions (chat, API queries, database access), processing queries with 90% accuracy using RAG and ChromaDB for context-aware responses.

May 2023 – Jul 2023 · 2 mos · Delhi, India · On-site

• Developed secure proxy layer between App server & AWS RDS, enabling field‑level encryption for employees personal data safeguarding sensitive information during transmission to RDS.
• Explored advanced security technologies, including Acra and Baffle Data Protection Services, gaining insights into innovative solutions for safeguarding sensitive cloud‑stored data.
• Contributed to development of Unit Tests via Pytest and several Mocking Techniques ensuring accuracy and functionality.