• Innovated and implemented pivotal features for member-engagement campaigns leveraging PHP and advanced template language

• Designed and established efficient reporting mechanism by querying and extracting data from both MongoDB and MySQL databases

• Streamlined data extraction, transformation, and loading processes, resulting in increased efficiency, reduced errors, and improved campaign performance

• Exhibited advanced skills in building a monitoring and logging tool to track packet loss and traceroute data, utilizing ElasticSearch, LogStash, and Kibana (ELK stack)

• Developed a deep understanding of network performance analysis and demonstrated expertise in implementing an efficient and scalable system for monitoring and troubleshooting network issues

• Led project to disambiguate funding source names, achieved in 20% increase in requests for annual released data

• Developed data ETL pipeline using Python, Jupiter Notebook and T-SQL; rolled out usage across team of data analysts and product managers

• Created a series of SQL queries to do funding source name cleaning, normalizing and transformation

• Collected data using web crawling by Python and conducted data analysis of record linkage and name matching

• Developed advanced data analytics and visualizations to enable digital retrieval of online books and archives, demonstrating proficiency in data visualization tools

• Utilized Python and Pandas to extract insights from vast collections of online books and archives, providing users with streamlined and efficient access to valuable data resources

• Successfully revamped data collection processes, leveraging best practices and advanced technologies to achieve a 35% reduction in processing time