Lead Data Scientist
CurrentI have specialized in time series forecasting, applying advanced machine learning techniques such as Prophet, Temporal Fusion Transformer, Autoformer, and PatchTST to deliver highly accurate predictions across various domains, including sales forecasting. Leveraging my expertise in Databricks, PySpark, and Apache Spark, I implemented advanced parallelization strategies to enhance processing efficiency, enabling the system to scale seamlessly and manage forecasts for millions of time series. My work integrates cloud platforms like Azure and AWS to optimize workflows and deliver robust, data-driven insights.