A strategic and analytical leader skilled in navigating complex data landscapes to uncover actionable insights and drive business impact. With a balance of technical expertise and business acumen, I ensure every data point contributes to a compelling, data-driven narrative that empowers organizations to make informed decisions.
Enhanced data integrity and accuracy by setting up and managing an Amazon Redshift database in partnership with the data engineering team and getting data feeds implemented – pulling in data from multiple data sources for our clients.
Reduced hours of analytics work to seconds by using R and Python to build data products and tools for the team, which helped streamline the selection of test and control markets, run causal impact analyses, build multi-touch attribution models, and run multiple linear regressions to evaluate impact of media campaigns and creatives on performance.
Revamped the reporting process by building insightful Tableau and Power BI dashboards using tables and views from the Amazon Redshift database, freeing up the team’s time as they would no longer need to spend dozens of hours each week preparing the data and building the report in Microsoft Excel.
Ensured data availability by working with the strategy and data engineering teams, as well as clients and data partners to agree on the data fields needed, ways to capture and pull them into the database (API, FTP, Amazon S3, and/or Excel File Sharing) as well as cadence of data refreshes.
Enabled seamless deployment and accessibility by containerizing web applications with Docker and orchestrating their publication using Kubernetes, ensuring the Business Strategy team could efficiently access and utilize them.
Conducted training sessions and facilitated knowledge sharing to increase the team’s skills set and efficiency by creating various PowerPoints and documentations on programs such as MS Excel, Knime, Tableau, and statistical models.