🔭 I'm deeply passionate about Data Science, Machine Learning, and AI system design — especially in areas that blend structured business impact with advanced models like XGBoost, NLP, and Time Series Forecasting. I am constantly refining my skills across core CS, ML algorithms, and systems thinking.

💭 My mission is to build intelligent systems that simplify decision-making at scale, whether it's through forecasting, personalization, or large language models. I aim to solve real-world problems that matter.

👯 I’m always up for collaborating on ML projects, mentoring newcomers in tech, or contributing to open-source data/ML tooling. If you're working on something cool, let's connect!

🧠 I'm currently working as an Machine Learning Engineer and foraying into AI Engineering. My recent work includes time series forecasting, interpretable pipelines, and NLP-based analytics for strategic decision-making.

⌛ I come from an Electrical Engineering background and pivoted into Data Science. Over the last 2 years, I’ve worked on problems at the intersection of business intelligence, predictive modeling, and customer behavior.

📚 I'm a continuous learner — currently focused on mastering key ML topics through books like Practical Machine Learning (O’Reilly), projects, and courses on Coursera and Stanford Online.

🎨 Outside of tech, I am a creative at heart! I enjoy painting and photography.

🧠 My curated AI/ML interview prep list (ML theory, system design, Python, SQL, case studies, behavioral) — launching soon on my GitHub!