Edmond Wabwire

Multi-faceted professional with advanced analytical, reasoning, and problem-solving skills. Skilled at maintaining focus with Business Intelligence, Data Governance initiatives while developing new business strategies and implementing new data frameworks that improve processes and exceed challenging and multifaceted business demands. Demonstrated expertise in using extremely large, complex data sets to draw conclusions and effectively communicate findings with both technical and non-technical team members.

Proficient in machine learning, visualization tools for dashboard building and statistical/financial modeling, with a strong understanding of programming languages such as Python, R, and SQL.

3+ years of experience in designing and implementing data pipelines and creating automated reports.

• I have worked in different special projects in Kenya, Zanzibar, Uganda and Rwanda. This has given me an expertise on cross-border finance, market environments & attitudes and different systems & technologies.
• I have knowledge of data science programming languages like R, Python, and database query languages like SQL, Hive, Pig and familiarity with Scala, Java and C++
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau, Power Bi, Looker studio that help to visually encode data and building of Dashboards.
• Expert in drawing business model canvases and forecasts (by Monte Carlo and Other powerful distributions), this also includes business process modelling by some powerful software like Bizagi Modeler.
• Good knowledge of cognitive analytics & machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM and Decision Forests
• Experience using web services: Redshift, S3, Spark
• Experience in statistical and data mining techniques: text mining, GLM/Regression, Random Forest, social network analysis & Boosting.)
• Highly developed strategic thinking & analytical pragmatic thought leadership informed by stakeholder insights.
• Experienced in developing Innovative strategies and policies and development of future-fit capabilities.
• Depth and breadth of a thorough understanding on data, implications to business, risk analysis and development of strategies.
• Capable of identifying, understanding and using data levers to achieve value and high-quality results whilst remaining persistently positive in highly competitive and challenging environments.
• Highly adaptable and versatile with the ability to handle ambiguity - Practical, hands -on results oriented. Ability to work seamlessly with Multifunctional and diverse teams.

To Advise the Chief Executive Officer, the Chief Financial Officer and The Board on the most optimal business models, designs and intelligence to ensure the business remains market relevant plus its vision runs to reality. Oversee and mentor a team of ten data analysts and data scientists.