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03:45, 10 December 2024 ‎Real-Time Energy Price Prediction (hist | edit) ‎[3,449 bytes] ‎Admin (talk | contribs) (Created page with "The electricity industry in most of Texas is deregulated, which means that consumers can choose their electricity provider. This is different from regulated areas of Texas and other parts of the country, where a single utility company delivers electricity to homes and businesses. Texas deregulation process started with the passage of Senate Bill 373 in 1995 and culminated with granting independence to the Electric Reliability Council of Texas (ERCOT) in 2002. My work at...")
03:36, 10 December 2024 ‎Geolocation by IP Address (hist | edit) ‎[589 bytes] ‎Admin (talk | contribs) (Created page with "In this paper, I present my research on IP addresses. In my role at the time, I was working on better mapping online user behavior to specific adult-age individuals in the United States for the purposes of entity resolution and record linkage. The business impact of my work was it improved credit applications accuracy, prevented identity theft, reduced fraudulent and scammer calls, and made it harder for bad actors to steal from the elderly. <html> <iframe src="https://...")
18:35, 25 November 2024 ‎Data Engineering (hist | edit) ‎[1,301 bytes] ‎Admin (talk | contribs) (Created page with "== Overview == Data Engineering focuses on designing, building, and optimizing systems for data collection, storage, and processing. I specialize in creating scalable ETL pipelines, managing data warehouses, and enabling robust analytics. == Skills and Tools == * **ETL Pipelines**: Airflow, Luigi * **Data Warehousing**: BigQuery, Snowflake * **Programming**: Python, SQL, Spark * **Cloud Platforms**: AWS, GCP * **Database Management**: PostgreSQL, MySQL == Featured Proj...")
06:51, 25 November 2024 ‎/index.php/Data Engineering (hist | edit) ‎[1,891 bytes] ‎Admin (talk | contribs) (Created page with "== Overview == A brief introduction to what data engineering is and why it is important. Mention your expertise and approach to data engineering. == Skills and Tools == List the key skills and tools you use. Examples: * ETL Pipelines (Airflow, Luigi) * Data Warehousing (BigQuery, Snowflake, Redshift) * Programming (Python, SQL, Spark) * Cloud Platforms (AWS, GCP, Azure) * Database Management (PostgreSQL, MySQL) == Featured Projects == ### Project 1: [Project Title] * *...")