● Managed Airflow cluster upgrades from 1.10.x > 2.0.x > 2.2.x > 2.6.x, in all areas (image builds, deployment charts, CICD, DAG migration). Regular developer of internal libraries, modifications, administration, and debugging.

● Contributor to internal Kafka Connector and Single Message Transforms (custom metrics, throughput, memory optimization) in the context of change data capture replication, focused on sink connectors.

● Internal support to Data Science and XFN teams in the capacity of a developer/administrator of the data warehouse and other OLAP infrastructure.

● Past/ad-hoc work on custom ETL integrations, EMR, data search, API integrations (JIRA/Slack/Okta) with internal tools.

● Collaborates with principal investigators to refine study protocols and research designs (randomized controlled trials and regression discontinuity designs).

● Develops surveys and digital data collection instruments for computer-assisted interviewing.

● Implements study protocols for quality control, data cleaning, and analysis.

● Trains interns in statistical programming to implement high-frequency checks and back-checks.

● Designed and developed custom tracking and monitoring mobile money transactions to field teams using IFTTT Applets and Android software development.

● Tracks expenditures, project budget, and generates financial reports.

● Hires, manages, and trains survey teams.

● Manages critical high-level relationships with project stakeholders and program partners.

● Produces compelling presentations with appropriate tables and visualizations to communicate complex relationships to audiences of varying statistical literacy.

● Project management ensuring timely deliverables for grant reporting and IRB approval.

● Assists with country office operations, primary key holding, cash management, interviewing job applicants, and procurement.

● Develops lesson plans for discussion sections to parallel lecture material

● Guides students in learning statistical programming (STATA) in section

● Presented topics in microeconomics to sections of up to 25 undergraduate students

● Holds office hours to provide individual and small group instruction on difficult topics

● Assists in proctoring of exams and grading of students' assignments

● Communicates with students through email in resolving any issues regarding coursework

● Data scraping publicly available information from internet databases (Python : BeautifulSoup4)

● Data cleaning and normalization (Python)

● Strategized approach in accessing databases through VPN to overcome firewall issues

● Utilized browser automation on more complicated scraping projects (Python : Selenium)

● Obtained Google Analytics Individual Qualification

● Used Google Analytics in combination with R and Python to build custom queries

● Created customized datasets to reflect more granular insights

● Applied appropriate visualizations to best represent the data (ggplot2, matplotlib, seaborn)

● Consumed many energy drinks