A recent MS Analytics Graduate and experienced AI/ML Engineer dedicated to transforming complex data into intelligent solutions that drive real-world impact. I specialize in bridging the gap between cutting-edge artificial intelligence and practical business applications, with a unique background spanning embedded systems engineering and advanced data science.

My journey combines academic rigor with industry experience, focusing on developing scalable AI systems, interactive dashboards, and predictive models that solve meaningful problems across healthcare, finance, social impact, and emerging technologies.

📊 Data Science & Analytics | 🤖 Artificial Intelligence | ⚡ Embedded Systems | 🚀 Innovation & Research

🎓 Recent MS Analytics Graduate with specialization in Applied Machine Intelligence from Northeastern University
💡 Former Embedded Design Engineer with hands-on experience in hardware design, data analysis, and process optimization
📝 IEEE Published Researcher with proven expertise in applying data-driven methodologies to complex engineering problems
🏆 Academic Collaborator - Contributing to social impact research through partnership with Kids at Risk Action (KARA)
🌟 Innovation Enthusiast - Passionate about creating solutions at the intersection of AI, hardware engineering, and social good

Data Science & Analytics 🔍 Advanced Statistical Analysis 📊 Predictive Modeling & Forecasting 🎯 A/B Testing & Experimentation 📈 Business Intelligence Solutions	Artificial Intelligence & ML 🧠 Deep Learning & Neural Networks 🗣️ Natural Language Processing 👁️ Computer Vision & Image Analysis 🤖 Intelligent System Development	Interactive Dashboards & BI 📊 Tableau & Power BI Development 🎨 Data Visualization & Storytelling ⚡ Real-Time Analytics Platforms 🔍 Self-Service Analytics Solutions
Full-Stack Development 💻 React & Node.js Applications 🚀 FastAPI & Microservices 📱 Streamlit & Interactive Apps ☁️ Cloud Deployment & Scaling	Embedded Systems & IoT 🔌 Hardware-Software Integration ⚡ Edge AI & IoT Solutions 🔧 PCB Design & Prototyping 📡 Sensor Data Processing	Research & Social Impact 🔬 Academic Research & Publications 🌍 Social Good Data Projects 📚 Child Welfare Analytics 🤝 Industry-Academia Collaboration

Programming & Data Science:

AI/ML Frameworks:

Data Visualization & BI:

Web Development & APIs:

Cloud & Databases:

AI Tools & Platforms:

📺 Netflix Analytics Dashboard	🏘️ House Sales Analysis
Interactive Netflix content analysis with global distribution mapping	Real estate market trends with price analysis and geographical insights

✈️ British Airways Review Dashboard	🏠 Massachusetts Property Assessment
Comprehensive airline performance analysis with customer sentiment tracking	Interactive Massachusetts property distribution and investment insights

🔗 View Complete Tableau Portfolio - Professional dashboard collection with live interactive demos

🤖 Gemini Explorer Chatbot	📸 AI Image Caption Generator
Advanced conversational AI with Google Gemini LLM and dynamic UI features	Deep learning CNN-RNN architecture for automated image captioning

📚 Quizify - AI Quiz Generator	✈️ Gemini Flight Manager
PDF-to-quiz generator using Gemini LLM, ChromaDB, and vector embeddings	FastAPI flight management system with AI-powered search capabilities

🚴 Cyclist Safety Predictor	🏦 Bank Term Deposit Prediction
Random Forest classifier with SMOTE for bike crash severity prediction	Customer behavior analysis with 90% accuracy using ensemble methods

🌸 Iris Classification Microservice	📊 Video Ad Content Analyzer
Containerized ML model deployment with REST API endpoints	Automated video advertisement content evaluation using NLP embeddings

💔 Toxic Attraction Pattern Quiz	👥 Partner Assessment Tool
Viral personality quiz with branching narratives and psychological profiling	Confidential relationship assessment using AI-powered analysis

🎨 ComfyUI Creative Workflows
Custom AI art generation and inpainting workflows using ComfyUI automation

👶 Child Welfare Data Visualization	📖 Book Popularity & Narrative Analysis
Comprehensive analysis of child welfare trends with KARA collaboration	Statistical analysis of narrative structure impact on book popularity

🔬 Colab Experimental Code
Collection of experimental implementations, prototypes, and research code

🚀 Career Development Goals:

• Full-Time Opportunities - Seeking Data Scientist or AI/ML Engineer roles
• Industry Applications - Applying academic knowledge to real-world business challenges
• Continuous Learning - Staying current with latest AI/ML technologies and methodologies

🚀 Professional Development Goals:

• Portfolio Expansion - Building production-ready ML solutions
• Industry Networking - Connecting with data science and AI communities
• Technical Leadership - Contributing to open source projects and mentoring others
• MLOps & Production Deployment - Scaling machine learning models from prototype to production environments
• Large Language Model Integration - Exploring GPT, Claude, and Gemini APIs for enterprise applications
• Edge AI & IoT Solutions - Developing lightweight ML models for embedded systems and hardware optimization

🔬 Research & Academic Pursuits:

• Capstone Project Development - Advanced analytics project combining AI with real-world business applications
• Industry-Academia Collaboration - Continuing partnership with organizations like KARA for social impact research
• Conference Presentations - Preparing to present research findings at IEEE and analytics conferences

🤝 Collaboration & Networking:

• Open Source Contributions - Contributing to AI/ML libraries and sharing reusable components
• Professional Mentorship - Seeking guidance from industry leaders while mentoring junior developers
• Cross-functional Teams - Working with product managers, designers, and engineers on end-to-end solutions