Experience

ICS Engineering and Environment

• Uganda
• Civil Engineering
• 1 - 100 Employee

• Statistician

  • Nov 2021 - Present

  Worked as a Statistician for the East African Crude Oil Pipeline (EACOP) RAPI Project - Uganda section Manipulated, transformed and merged data from multiple data sets with SQL, R and Python Data management and wrangling/pre-processing such as cleaning, structuring, transformation, merging Performed descriptive and exploratory statistical analysis of individual-level or aggregate-level data Prepared tables, figures, and reports for end-users Handled the preparation and manipulated of project data (stakeholder, Valuation, Cadastral survey, Legal, Socio-economic etc) as requested by the Data manager. Performed the Quality Assurance/Quality Control (QA/QC) processes on data received from the field teams. Perform statistical analysis on Socio-economic, Livelihood and vulnerability data as required by Project Manager and Data Manager. Liaised with the various discipline supervisors and managers on data related matters Monitored the vulnerability data and other social data sent directly to the EACOP server from the mobile data collection tool and appropriately update the required excel files. Assisted in any Report creation process when required Show less



Q2 Impact

• United States
• International Trade and Development
• 1 - 100 Employee

• Data Analyst

  • Mar 2021 - Jul 2021

  responsible for gathering and interpreting data to ensure its quality and accuracy, while processing it and presenting it in patterns and trends that will enable ULA and USAID to make better decisions. conducting full lifecycle data analysis to include requirements, activities, and design. responsible for monitoring performance of the system, identifying improvements, and providing reports. responsible for gathering and interpreting data to ensure its quality and accuracy, while processing it and presenting it in patterns and trends that will enable ULA and USAID to make better decisions. conducting full lifecycle data analysis to include requirements, activities, and design. responsible for monitoring performance of the system, identifying improvements, and providing reports.



Infor

• United States
• Software Development
• 700 & Above Employee

• Development Intern

  • Jan 2020 - Jun 2020

  Raymond investigated the possible implementation of a machine learning algorithm that finds patterns and anomalies in data from online production environments to work as a forewarning system for Infor (Sweden) AB. This involved comparing time series forecasting approaches namely the recursive strategy and the direct forecasting strategy. For the recursive strategy, a simple neural network was used. For the direct forecasting approach, a well-known algorithm called “XGBoost”, was used. XGBoost is regression trees. Finally, the forecasts by the different strategies were compared using a binary classification decision rule. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166044 Show less



One Acre Fund

• International Trade and Development
• 700 & Above Employee

• Project Specialist

  • Aug 2017 - May 2018

  Raymond wrote and implemented a 2018 survey design for a trial on coffee farmers in Eastern Uganda. He analysed data using R and wrote 6 management reports with recommendations. Raymond conducted teaching sessions on basic statistics for the department. Raymond successfully supervised enumerator teams and was able to discover that one of the experiments conducted by the department was flawed from the reports of the enumerators. The data was sampled from over 8000 farmers. Raymond wrote and implemented a 2018 survey design for a trial on coffee farmers in Eastern Uganda. He analysed data using R and wrote 6 management reports with recommendations. Raymond conducted teaching sessions on basic statistics for the department. Raymond successfully supervised enumerator teams and was able to discover that one of the experiments conducted by the department was flawed from the reports of the enumerators. The data was sampled from over 8000 farmers.



Lutheran World Federation

• Switzerland
• Non-profit Organization Management
• 500 - 600 Employee

• Monitoring and Evaluation Intern

  • May 2017 - Jul 2017

  - monitoring and evaluating of a project intervention about Sexual and Gender Based Violence among Congolese and South Sudanese refugees - Analyzing data using SPSS, MS Excel and R Studio - monitoring and evaluating of a project intervention about Sexual and Gender Based Violence among Congolese and South Sudanese refugees - Analyzing data using SPSS, MS Excel and R Studio



Baridi Stores

• Nsambya, Kampala

• Business Analyst

  • Oct 2014 - Apr 2017

  - Creating a detailed business analysis, outlining problems, opportunities and solutions for the business - Budgeting and forecasting - Planning and monitoring - Financial modelling - Variance Analysis - Pricing - Reporting - Defining business requirements and reporting them back to stakeholders - My role as a business analyst led to the business winning 3 awards 3 years in a row, 2014, 2015 and 2016 - Creating a detailed business analysis, outlining problems, opportunities and solutions for the business - Budgeting and forecasting - Planning and monitoring - Financial modelling - Variance Analysis - Pricing - Reporting - Defining business requirements and reporting them back to stakeholders - My role as a business analyst led to the business winning 3 awards 3 years in a row, 2014, 2015 and 2016



National Social Security Fund

• Uganda
• Financial Services
• 500 - 600 Employee

• Data Integrity Officer

  • Apr 2012 - Sep 2014

  - participated in solving and verifying pension claims of over 1000 clients over a 2 year period. - Pension data for verifying claims - Mostly data cleaning - A lot of missing data - Occasional data analysis using MS Excel - Sometimes life critical decisions had to be made - The problem was ensuring improved financial transparency for pension savings. - Cleaned, analyzed and manipulated data, provided action points regarding large sets of data related to pension in line with specified metrics. - Interfaced with Management Information Systems especially Oracle JD Edwards. - Interviewed a lot of clients to collect specific data necessary to inform decisions about authorizing financial pay-outs. - Coordinated with colleagues in the field to gather specific data. - Submitted timely management reports used in weekly and monthly management reports. - Worked with MS Excel especially using Macros. Show less