Builder shaped by data and curiosity
Self-taught Data Scientist passionate about transforming raw data into actionable insights through machine learning and statistical modeling. I enjoy tackling complex problems by uncovering hidden patterns in data and building intelligent systems that can reason, predict, and assist decision-making. Constantly exploring new techniques in artificial intelligence, I focus on creating practical, data-driven solutions with real-world impact. Read more
My journey began in Computer Science Engineering, where I initially explored web development, but my growing interest in data, machine learning, and problem-solving led me to pursue Data Science more deeply. Since then, I’ve worked extensively with machine learning models, LLMs, and agentic AI systems, applying them to domains like career guidance, interview preparation, analytics, and intelligent automation.
I enjoy building end-to-end systems that span data collection, modeling, deployment, and visualization using tools like FastAPI, LangChain, LangGraph, and modern ML frameworks. I’m particularly interested in agent-based systems, applied AI, and using data to drive meaningful insights rather than just predictions.
Outside of projects, I’m committed to continuous learning, experimenting with new ideas, and refining my understanding of AI systems that combine reasoning, data, and real-world constraints.
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