# Dana Al Shekerchi > SWE @ Datadog 🐾 | CS @ UofT Location: New York, New York, United States Profile: https://flows.cv/danaalshekerchi 👋 Welcome to my LinkedIn. My name is Dana (DA-nuh), a Software Engineer from Toronto 🇨🇦 🎓 Pursuing a Computer Science degree at the University of Toronto 👩‍💻 Some of the languages and frameworks that I am proficient in are: Python, C#, JavaScript, TypeScript, Java, C, HTML/CSS, SQL, Git, Android, React, Node.js 💻 Previously, I worked at Pinterest as a Software Engineer Intern, where I created a dynamic style filter using Python and developed a TypeScript component to enhance filter usage by 15%. Currently, I work at Datadog as a Software Engineer Intern, using JavaScript to add cost analysis of customers' resources to the new Resource Catalog. 🙋‍♀️ During my university experience, I have volunteered with: • Hack the North and TechNova as a Mentor • UofT Web as a Project Lead • IEEE UofT as a Webmaster Associate • SB Ventures as a CS Associate • New College Student Council as Middle-Year Rep. 🏔 In my free time, you can find me skiing ⛷, karaoking 🎤, cooking (breakfast specialist 🍳), hiking with friends 🥾, watching the sunrise 🌅, or traveling 🌍 ## Work Experience ### Software Engineer @ Datadog Jan 2025 – Present | New York, NY ### Software Engineer @ Datadog Jan 2024 – Jan 2024 | New York, United States ### Software Engineer @ Pinterest Jan 2024 – Jan 2024 • Created a dynamic style filter using Python by retrieving style options from user signals to enhance product page search • Developed a TypeScript component for style selection, retrieving data from improving filter usage by 15% • Optimized user pathway to shoppable pins, boosting conversions by 10% through improved customer targeting ### Software Engineer @ Wealthsimple Jan 2024 – Jan 2024 | Toronto, Ontario, Canada • Reduced Portfolio Manager consultations by 30% by enhancing managed investing portfolio risk scores with new verification screens • Developed a Data Integration Platform for 200,000 clients, centralizing user data to eliminate redundant entries • Enhanced automated testing for financial modules in React Native, boosting system reliability ### Software Engineer @ Wealthsimple Jan 2023 – Jan 2023 | Toronto, Ontario, Canada • Optimized user engagement with a streamlined transaction feed developed in Ruby, facilitating rapid data retrieval and dynamic display in the app via React Native • Processed 600 million transactions from an Apache Kafka stream, enabling clients to view their cash position history • Created a classifier with Kotlin to improve detection of reversed payments, boosting financial metric precision by 15% ### Above and Beyond Computer Science (ABCS) Program @ Meta Jan 2022 – Jan 2022 • Selected to participate in Meta's 10-week technical interview prep fellowship to master key data structure and algorithm skills ### Full Stack Developer @ Prodigy Education Jan 2022 – Jan 2022 | Toronto, Ontario, Canada • Built a WebSocket-based "channel" feature for a new multiplayer service using Node.js and SocketCluster backed by a Redis database to store session metadata, allowing for in-game player communication • Expanded usage of HTTP response codes on REST API by 30% to improve error identification on client-side • Implemented new API endpoints on mailing server built using Express.js and Typescript ### Software Product Sprint @ Google Jan 2022 – Jan 2022 • Designed a web application to increase access to STEM resources for youth in underrepresented groups • Incorporated responsive design using Bootstrap to enhance mobile user experience by 25% • Leveraged various Google Cloud Platform APIs, including Datastore, a NoSQL database, to store event information retrieved from HTTP servlets ### Software Developer @ PSI Technologies Inc. Jan 2021 – Jan 2021 • Developed over 15 new features to PSIPave3D, a 3D statics analysis application built in C# using .NET • Introduced custom styling support, allowing any UI components to be customized with bitmap graphics • Improved codebase modularity and testability by implementing MVVM design • Increased user productivity by 60% by designing an internal tool to dynamically map data and generate CSV files ## Education ### Honours Bachelor of Science in Computer Science Specialist University of Toronto ## Contact & Social - LinkedIn: https://linkedin.com/in/dalshekerchi --- Source: https://flows.cv/danaalshekerchi JSON Resume: https://flows.cv/danaalshekerchi/resume.json Last updated: 2026-03-30