About
A bit about me
I am a Data Scientist and Machine Learning Engineer with a background in Civil and Structural Engineering, bringing a strong foundation in analytical thinking, mathematical modelling, and complex problem-solving. My transition into data science was driven by a passion for using data to understand systems, uncover patterns, and support better decision-making.
My work focuses on time-series forecasting and end-to-end machine learning development, taking projects from raw data acquisition through feature engineering, model development, validation, and deployment. I enjoy building scalable data pipelines, experimenting with statistical and machine learning approaches, and transforming analytical models into reliable, production-ready solutions.
Recently, I have been working on financial forecasting and quantitative analysis, developing hybrid statistical and deep-learning models, backtesting trading strategies, and deploying prediction services using modern MLOps practices. Alongside financial applications, I have applied data science and automation within the real estate sector, developing valuation models, knowledge systems, and data-driven tools that bridge domain expertise with machine learning.
