Florence M. Email & Phone Number

● Researched, tested and rolled out analytics engineering processes to support datamodeling, transformation and loading using DBT. This fastened the datatransformation and loading process from 3 days to less than a day.● Introduced code review, data review, and data quality review processes thatimproved data quality and increased confidence in data across the organization.● Optimized the data pipeline and shortened the data processing from multiple hours toless than an hour by leveraging Snowflake and DBT capabilities.● Guide the analytics engineering process to ensure that we have data objects that arefast to query on BI tools. Train new and junior team members on all the data toolsand best practices.● Set-up and monitor the data ingestion processes to ensure data freshness and dataaccuracy while maintaining low data extraction and storage costs● Set up, maintain, monitor and improve permission provisioning using Terraform toensure data security and least privilege access● Identify areas of improvement in the entire data infrastructure, propose andimplement solutions aimed at reducing costs and improving the speed of dataprojects delivery● Manage data projects from project scoping to project delivery while paying extraattention to the what, the why and the how of each project. Communicate withdifferent stakeholders and work together in a way that different teams understandand support each other.● Create dashboards, reports and data products to support decision making at variouslevels for both external and internal data stakeholders. Maintain accuratedocumentation of various data resources, data definitions and data processes foreasy access by various team

• Led in automation of data cleaning, collation, analysis and reporting on global pharmaceutical supply chain data points. The data and analysis are frequently used in decision making within malaria and reproductive health spaces.• Regularly cleaned, analysed data and generated reports with actionable data insights for use by various teams in their day to day planning and strategy implementation.• Help various teams understand their data and interpret data in actionable terms.

• Automated data collection, data cleaning, databasing, analysis and reporting using ODK, R, Python and Tableau • Led in development and deployment of web applications such as dashboards and online surveys • Built machine learning models including regression, classification, recommendation, time series and market basket analysis models aimed at improving customer segmentation, sales & marketing processes, procurement processes and resource allocation • Built social network analysis models to understand information flows within organizations and to identify problematic areas in distribution systems • Analysed text data such as customer reviews, survey responses, newspaper headlines and social media data in order to understand customers' needs and business trends • Trained clients on monitoring and evaluation systems, usage of new dashboards and reporting systems