2023- Present

Director of Analytics and Engineering

-Lead the analytics and data engineering function, setting the technical roadmap for the firm's big data, machine learning and market research services. -Translate client business problems into analytics solutions, from scoping and proposal through delivery and adoption. -Design and maintain data pipelines that ingest, clean and integrate data from surveys, client systems and third-party sources. -Build data models and warehouse structures that support reporting, dashboards and advanced analytics. -Lead development of predictive and machine learning models, such as segmentation, forecasting and classification, to identify consumer needs and market trends. -Support business development by shaping technical proposals, costing analytics projects and presenting solutions to prospective clients

2023-2025

Business Analyst at East Africa Market Development Associates

1. Conducting marketing studies for different value chains and supporting market linkages. 2. Timely update, validation and review of periodical results and indicator documentation and reporting; quarterly, semi-annual, and field activity reports. 3. Planning for and undertaking field surveys, including developing and rolling out data collection tools using the Kobo toolbox and ODK collect tool, Survey monkey and SPSS. 4. Working with the consulting team on research, data analysis, as well as writing reports, proposals, concept notes and/or curating of EAMDA's written output. 5. Developing a strong understanding of local markets, overseeing market studies for various industries, and supporting market linkages. 6. Database management and maintenance

April 2022-January 2023

Data Scientist at Dataque Analytics

1. Developed clear and well-structured analytical plans and analyzed large data sets using R, Python, and Excel. 2. Identified patterns in data using an advanced statistical analysis method. 3. Identified, communicated, and endeavoured to resolve data gaps that impact the fulfilment of the business’s functional requirements. 4. Built and operationalized processes that ensure timely data-loading and maintain accuracy and relevance of data used within the data department. 5. Applied algorithms and statistical models to make a computer automatically learn from the given data. 6. Communicated actionable insights using data, often for the stakeholders and non-technical audience.

March 2021 - April 2022

Data Analyst at Research 8020

1. Collected and interpreted both quantitative and qualitative data 2. Performed data analysis for multiple clients across sub-saharan Africa. 3. Identified patterns and trends in secondary big data sets. 4. Worked alongside teams within the business or the management team to establish business needs. 5. Defined new data collection and analysis processes.

Jan 2019 - March 2021

Data Analyst at Dataque Analytics

1. Data Collection and Cleaning: Collected, cleaned, and preprocessed large volumes of raw data from various sources, ensuring its accuracy and consistency. 2. Data Exploration: Conducted thorough exploratory data analysis to uncover trends, patterns, and insights within the data, which can guide decision-making. 3. Statistical Analysis: Applied statistical methods to analyze data, perform hypothesis testing, and derive meaningful conclusions to support market research objectives. 4. Segmentation and Profiling: Utilized data to segment the market and customer base, creating profiles that help in targeting specific audiences for tailored research and marketing strategies. 5. Data Visualization: Created clear and compelling visualizations, such as graphs, charts, and dashboards, to effective

April 2018 - September 2019

Data Analyst Intern at Kenya Investment Authority

1. Undertook research on institutional arrangements for formulating and advocating investment policy. 2. Researched on investment opportunities and existing policies and areas of review for investment facilitation.