Project Title: Effective Data Analysis and Reports from EPOS Systems for Non-Aero Services• Worked with the Non-Aero Commercial Operations Team under the guidance of the Associate Vice President at Adani Airports.• Conceptualized step-by-step approach across all the Retail, F&B, and Services categories to analyze Big Data.• Defined the KPIs and benchmarked across all Adani Airports for successful governance-cum-implementation.• Curated recommendations to boost non-aero revenue by more than 10% by utilizing data-driven insights.• Programmed script for automated Market Basket Analysis for quantitative insights into consumer behavior.• Developed a scalable code capable of mining association rules from 100,000+ sales records in < 1 minute.

• Worked on Anomaly Detection and Machine Learning for a business use case in the company's Artificial Intelligence (AI) Department. • Researched and implemented deep learning models for the comparative study of potential alternatives. • Developed a deep learning model for automated defect detection (like cracks) in machine parts. • Achieved 80% accuracy by improving the existing version of the Mask-RCNN deep learning model. • Manually prepared, annotated, and augmented the dataset achieving efficient experimentation.

Worked as a technical writer and developed content for the blog posts of various international clients related to the latest trends and innovations in technology.

Worked on an IoT Web Project. Utilized Angular for the web application’s dashboard development. Simultaneously worked on maintenance of the company’s corporate website.

Selected for the University Student Internship Program (USIP) and served as a university intern under the Librarian (Central Library). Worked on the content management and development of the e-learning website of the DTU Central Library.