Tarik Salay

Configured and delivered Experian Decision Analytics solutions across multiple industry sectors, built reusable components and automation to improve delivery speed and reliability, and optimized decisioning workflows through data-driven testing and troubleshooting.

Led data analytics efforts, creating data visualizations and providing insights to executive leadership team using Power BI and Tibco Spotfire.

Cleaned and prepared data to identify fraudulent activities using Pandas and Hive, and built machine learning models to predict fraud.

Developed fraud detection rules and ML models (XGBoost, regression, computer vision) using Pandas and Hive to proactively detect fraudulent orders and provided actionable insights to reduce fraud risk.

Advised startup scrum teams on using artificial neural networks to find lowest prices in the market, and developed processes to monitor model performance.

Supported Scrum teams by developing TensorFlow neural network models, conducting data collection and visualization, and building R-based monitoring tools for model performance and data quality.

Developed kernel modules, embedded systems, and libraries for high-level languages, and optimized performance of computer hardware systems.

Grade: 3.63

Grade: GPA: 3.43; Minor GPA: 3.83

Activities and societies: Relevant coursework: Python & Deep Learning, Software Engineering, IoT & Robotics, Artificial Intelligence; Dean's List (4x); Chancellor’s Nonresident Scholarship

Completed a Bachelor of Science in Computer Science with a minor in Mathematics & Statistics, achieving a 3.43 GPA in CS and 3.83 GPA in the minor; recognized on the Dean's List four times and received the Chancellor’s Nonresident Scholarship.