I’m a Data Analyst with 5+ years of industry experience and an M.S. in Engineering Technology from San José State University. I previously led analytics initiatives at DEN ADN Networks and now focus on building AI-powered systems, spanning NLP, computer vision, and robotic perception, with a strong emphasis on ethical and real-world impact. Currently, I’m contributing to a stealth project involving vision-based robotics alongside independent research in multimodal AI. AI for Social Good – Cyberbullying Detection (Capstone): I designed and evaluated 15+ ML, deep learning, and hybrid models across social media platforms (Twitter, Facebook, YouTube, Wikipedia). My CNN + BiLSTM model achieved 97.45% accuracy, enabling real-time moderation that classifies content into block, warn, or publish categories based on model confidence. Robotics & Perception Systems (Current – Stealth Project): I’m working on a computer vision system for robotic surface analysis and spatial awareness. My workflow includes ZoeDepth, pretrained normal maps, and surface orientation computation to identify safe vs. obstructed regions — helping robots make better painting or navigation decisions. Multimodal Emotion Classifier App (Independent Project): Built and deployed a live web app combining BERT-based text emotion detection and facial expression analysis using DeepFace, hosted on Hugging Face Spaces with real-time feedback and mood-based suggestions. Professional Experience @ DEN ADN Networks: As a Data Analyst in a media environment, I used SQL, Excel, and front-end CRM tools to lead campaign analytics, apply Six Sigma principles, and improve data processes. This resulted in a 30% reduction in processing time and a 25% boost in viewer engagement through intelligent segmentation and visualization. Cross-Domain Independent Projects: I’ve applied data science and visualization tools, such as Tableau, Seaborn, and Plotly, across various domains — including e-commerce, healthcare, and mobility — to create dashboards and insights that drive actionable decisions. Security & Responsible AI: Fortinet Certified with solid grounding in GDPR/CCPA, secure data workflows, and privacy-aware ML practices. I bring a mindset of building human-centered, explainable, and trustworthy AI. Let’s connect if you’re building or hiring at the intersection of AI, data, and human impact. I bring hands-on experience, technical versatility, and a drive to build ethical systems that work in the real world.