About Me
I don’t get excited by buzzwords. I get excited when a model I built actually saves time, cuts waste or gives someone an answer they didn’t have before. I’ve spent the last three years doing that with Python, SQL, Power BI, TensorFlow, and a good amount of patience. Most of my work lives where business and data meet. Forecasting energy demand with LSTMs, segmenting customers with K Means and DBSCAN, building dashboards with advanced DAX logic, deploying models in Azure Databricks using PySpark all part of my routine. I’ve built ETL pipelines from scratch, cleaned horrific datasets, and translated messy business asks into things people can actually use. I don’t treat tools like badges. I treat them like wrenches. If Power BI gets the job done faster than a Jupyter notebook, I use it. If I need TensorFlow or XGBoost, I’ll reach for them, but only if they’re the right fit. What matters to me is delivering something that works, runs well, and makes sense.
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