Skills
• Programming Languages: Python, JavaScript, TypeScript, SQL, HTML, CSS, Java, Swift, R
• Frameworks & Libraries: React, Next.js, Node.js, Express.js, FastAPI, Redux Toolkit, OpenCV, LangChain
• Cloud & DevOps: AWS (S3, Lambda, IAM, EC2), GCP (Document AI), Firebase, Docker, CI/CD
• AI & Data: TensorFlow, PyTorch, Scikit-Learn, OpenAIAPI, LangChain, NLP, Pandas, NumPy, PySpark, Apache Spark, SQL, Power
BI, Excel (Advanced), ETL, Tableau
• Databases: PostgreSQL, Prisma, Firebase Realtime DB, Vector Databases (pgvector)
• Development Tools: Git & GitHub, API Integration, Agile, Product Thinking, Microservices Architecture
About
As a curious and driven data and AI enthusiast, I thrive at the intersection of business, technology, and problem-solving. Currently working as a Regional Marketing Data & Insights Intern at Beiersdorf (NIVEA), I've led high-impact projects—consolidating decentralized campaign data across markets, automating manual workflows using Power Query, and standardizing asset trackers for brand compliance. My focus has always been on creating clarity from complexity.
Beyond work, I actively build personal projects that solve real-world problems—like an AI-powered learning assistant that organizes knowledge from conversations, and a photo compliance checker for marketing assets. I’m passionate about NLP, computer vision, and the business side of AI, with a long-term goal of using data to drive strategic decisions.
I learn fast, ask the right questions, and have a deep bias for execution. Whether it's scripting automation tools in Excel, working across teams to align processes, or designing full-stack AI workflows, I bring structure, creativity, and persistence to every challenge.
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