A data enthusiast who thrives on exploring data, building powerful predictive models, and deriving actionable insights to tell impactful stories.
A data enthusiast passionate about transforming raw data into actionable insights. With a background in Economics and a strong foundation in data analysis, I specialize in applying analytical thinking to real-world challenges in finance, prediction, and forecasting.
I enjoy solving problems through data storytelling and intelligent decision-making. My interests lie at the intersection of analytics, finance, machine learning, and time series forecasting — and how they can be combined to create powerful, data-driven solutions.
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The Intersection of Feature Selection and Econometrics
How classical econometrics principles can enhance machine learning model selection and accuracy. -
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Understanding Neural Networks: A Beginner’s Guide
A simplified walkthrough of ANN, MLP, CNN, and RNN architectures — ideal for newcomers to deep learning.
