I build intelligent data solutions, from initial concept to production deployment. As a recent Computer Science graduate, I combine a deep understanding of software engineering with a passion for machine learning and data analysis. My focus is on turning complex business problems into tangible, high-impact technical products that drive strategic decisions. My core capabilities include: 🔹 End-to-End AI Development: I have hands-on experience architecting and deploying full-stack AI systems. My graduation project involved building a platform from scratch using a Transformer-based model (BERT) for NLP and containerizing it with Docker for a production-ready MLOps workflow. 🔹 Data Analysis & Business Intelligence: I excel at translating raw user data into actionable insights. Using advanced SQL, Python, and BI tools like Power BI, my analysis and recommendations have directly contributed to measurable business improvements, including a 35% increase in user engagement in a professional internship. 🔹 Data Engineering & Full-Stack Capability: I am proficient with both backend (Python/FastAPI, Java) and frontend (React) technologies, and have experience designing relational databases and building ETL pipelines. This allows me to build the complete infrastructure needed to bring data products to life. I am a proactive problem-solver and a natural leader, proven as a former Google Developer Student Clubs Lead where I managed a community of over 200 students. I am now actively seeking a full-time role where I can apply my versatile skills to help a data-driven team build what's next. I am always open to connecting and discussing new challenges in data and AI!