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Lead engineer with statistics/ background and experience in real-time data engineering and ML engineering stack, Python, AWS, PySpark, Databricks, and Kafka.
SymPy and NumPy are used to simulate 60,000 air conditioners and homes over a 10-hour period, to create synthetic time series data. The simulation time was just under 1 minute.
I wanted to extract the transactions from my business checking account and determine the profit based on revenues and expenses. I found that my bank does not provide statements in a delimited text …