I graduated with a Master's in Computer Science with a passion for analyzing financial data, providing meaningful insights, solving technical challenges and building innovative solutions. My journey has equipped me with hands-on experience in AML and Data Analysis, Technical Support, and Web & Mobile App Development.
As an Anti-Money Laundering Analyst with an investigative mindset and analytical thinking skills, leveraging a diverse technology stack, I help with the detection, prevention and mitigation of financial crimes including money laundering.
Developed cutting-edge applications, including a real-time emotion detection system with 65% accuracy using deep learning and a large-scale YouTube analyzer processing 647,000+ videos.
Provided technical support to 20,000+ university users, resolving 3,700+ issues with a 4.9/5 satisfaction rating, while improving IT workflows and user experience.
Led teams in delivering high-impact projects such as LivingAtlas and the HypeHaven Ecommerce website, driving collaboration and achieving measurable results.
A machine learning application that analyzes live webcam footage to identify user emotions with over 65% accuracy.
An interactive web app for visualizing geographical data with features like polygon filtering and secure user logins.
A scalable application analyzing 647,000+ YouTube videos using Apache Spark and MongoDB for faster processing.
Feel free to reach out to me via Email or LinkedIn. I'm always open to new opportunities!