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Gabriela Santana@Gabbahia7
2
Events attended
2
Submissions made
8+ years of experience
About me
I am a Data Scientist passionate about integrating technical skills and a business mindset to deliver meaningful insights and anticipate emerging trends. I am committed to using technical and analytical skills to translate business challenges into practical solutions. I have six years of data experience using databases like MongoDB and SQL, four years of experience in Python, and three years in AI and its related fields, two years in cloud environments, and two years in containerization. In addition to that, I have a venture called Smartsunhouse where I’ve already made some deliveries in Brooklyn and Cotia, which consisted of automating apartments, among other things. I’m also a writer in my spare time and I’m working on a novel that takes place during the 1980s, a period marked by the redemocratization of Brazil. Bonus: I’m passionate about kittens and I have two, Ravenna and Gary. Invite me to chat or give a lecture; I really enjoy talking.
🤝 Top Collaborators
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🤓 Latest Submissions
ProactiveGuard
Problem: Network outages and equipment failures can have severe consequences, including financial losses, disrupted services, and reputational damage. Traditional maintenance approaches are reactive, addressing issues only after they occur. This leads to inefficiencies, increased costs, and prolonged downtime. There is a critical need for a proactive solution that predicts potential failures and enables timely interventions solution:ProactiveGuard is a cutting-edge predictive maintenance system designed to revolutionize how organizations manage their infrastructure. The system integrates operational data (e.g., sensor readings), connectivity metrics (e.g., network performance), and geospatial data (e.g., location-based environmental factors) to predict failures before they happen. Key features of ProactiveGuard include: Real-Time Risk Prediction : Uses machine learning models to analyze historical and real-time data, providing accurate predictions of failure probabilities. Geospatial Insights : Incorporates location-specific data to identify patterns and correlations between environmental conditions and equipment performance. Actionable Alerts : Generates risk levels (Low, Medium, High) and actionable recommendations to guide maintenance teams. Scalable Architecture : Built with a modular design to support integration with IoT devices, APIs, and third-party systems.
2 Mar 2025
Eye Nav
Problem Statement: People with motor disabilities struggle to use digital devices. Voice commands are slow, and existing hardware solutions are expensive. 💡 Solution: An AI-powered eye-tracking cursor using IBM Granite Vision Transformer to enable hands-free control of PCs and smartphones with just eye movements and blinks. 🚀 Key Features: ✅ Gaze-Based Cursor Movement – Move the cursor by looking around. ✅ Blink to Click – Short blink for left-click, long blink for right-click. ✅ Gaze Scrolling – Look up/down to scroll pages and reels. ✅ Real-Time AI Adaptation – Model learns user-specific gaze patterns. ✅ No Extra Hardware Needed – Works with a standard webcam.
23 Feb 2025
