1. FOS, Paris Olympics 2024 (PowerApps Application)-Led the development and deployment of the FOS Application, built on PowerApps, for the Paris Olympics 2024.-Utilized before the event to understand the market and conduct surveys on Outlets (POCs).-Google Maps Integration: Enabled effective location tracking and navigation for POCs and outlets-PowerBI Dashboard Integration-Survey Screen Functionality: Facilitated efficient survey data collection and direct backend integration, converting real-time data into actionable insights.-Enhanced understanding of the Olympic market landscape.-Optimized market strategies and customer engagement through real-time data insights.2. TIC Bottom-Up- Scaled to countries BE, FR, NL and starting with UK.- Reduced process turnaround time (6hrs to 5min weekly per country – Annualized time saving of 300 hours with process efficiency improvement of +90%)- Improved the accuracy of the invoice detection model - by 99.88% of BE, 97% for FR & 95% for NL. - Created accrual impact of $1M EBIDTA in 2023 [BE – €0.6M, FR - €0.4M] & estimated impact of $1.1 M in 2024 [NL – €0.6M, UK- €0.6M and further for BE and FR Maintenance]- Advanced Python Code and Libraries3. Venezuela POC Universe - Built proof of concept with Global RTM team to enhance POC Base from 2K to +35K POCs. - Created RTM market strategy for POC segmentation (identified 10% VIP POCs driving 50% volume)- Providing valuable Insights on the data and their relevant Contact Info- Including FOS, PowerApps Application for the Venezuela POC Universe to take surveys and visit the POCs by Google Maps feature.- Running the Google API to extract the customer base using Python as Base code4. Event Management App- Finalizing the functionality and business needs by enhancing the user experience of the App- Working on ReactNative Framework for Frontend and Node.js for the Backend5. Philippines POC Universe-Finding the best POCs through Google Maps API.

Working as a Android Developer In Kotlin. Building Application according to the requirement.

Exposed to the various activities in the Machine Learning domain using Python, implementing Regression, Neural Networks, Recommendation engines, and many other skills. I was very much interested in getting into the depth of the concepts and technicalities involved to understand it better.