Nutrien, Calgary, Canada

Data Analyst• May 2023 - March 2024

• Completed special requests from various growers to upload raw data files, analyzing results, and producing reports, maps, and supporting documentation
• Performed geospatial data management using management decision tool which improved productivity by 60% in 2 nd quarter of the year
• Developed custom tools and scripts to automate geospatial data processing tasks advanced by a variety of tools and resources, such as ArcPy, Geopandas and ArcGIS API for Python improved work efficiency by 60% during the 1st quarter of the of the year
• Performed large-scale data analytics across business domains, representing scientific work to stakeholders, and external parties using business intelligence and analytic tools

Technology: QGIS|Esri ArcGIS Pro |Spatial Management System (SMS) |Power BI| MS Excel

DexAfrica Limited, Accra, Ghana

GIS Data Analyst• August 2015 - June 2021

• Developed mobile and web technologies, including a smart platform supporting farmers in decision-making, and factors concerning the farming ecosystems in sub-Saharan Africa
• Facilitated and supervised design of Geodatabase from Desktop to Server encapsulating all modules for Enterprise Asset Management for Electricity
• Installed, deployed, and configured mobile data collection for offline data collection of electrical assets with synchronization enabled for limited connectivity and guarantee data ownership using on-site backups while administering vector data management on Microsoft SQL Server geodatabases
• Developed an interactive online Web map for transport data analysis with features including Routes, Toll Booths, Traffic Lights, Bus Terminals, and others which improved toll booths revenue by 60% and reduced road traffic incidents by 45%

Technology: QGIS|Esri ArcGIS Pro |MS SQL | Postgre SQL| AutoCAD |ArcGIS Online

Losamills Consult Limited, Accra, Ghana

Data Analyst • December 2013 – March 2015

• Designed and developed an ICT-based Financial Management Dashboard for collating, analyzing, and reporting on financial returns of the various local governments across the country which improved revenue mobilization by 60%
• Led a transition to a paperless practice by implementing an electronic booking system for Oil Marketing Company (OMC), Ghana which resulted in a faster, safer, and more accurate business system that reduced the cost of labour by 30% and office overhead by 10%
• Created data visualizations and dashboards to communicate findings and insights to senior management of OMC in a clear and concise manner using Power BI and MS Excel while administering data management on MySQL
• Trained 5 interns and launched a mentorship program for new joiners in the Accra office which improved work productivity by 30% in the 2nd quarter of the year
• Led a team to train IT professionals on how to maintain and administer the deployed application on the Web host that improved work productivity by 60% in the first quarter of the year

Technology: My SQL|MS Excel |Power BI

CIPD Consult Limited, Accra, Ghana

Market Research Analyst Intern • August 2011– September 2012

• Worked with a team of market research analysts on a project for Ghana Investment Promotion Center (GIPC) to identify strategic marketing opportunity on how to market Ghanaian products online
• Built data visualizations using MS Excel for KPIs at GIPC that reduced manual reporting by 10 hours weekly
• Developed and managed multiple reports and dashboards for tracking key performance indicators and business metrics using MS Excel

Technology: My SQL|MS Excel | SPSS

Student Performance Prediction | January 2024

Technologies: Python, Scikit-learn, Streamlit

• Achieved an accuracy score of 88.03% to predict students’ academic achievement by building and deploying a machine learning model
• Managed data integrity by handling missing values and encoding categorical variables, enhancing quality by 28%
• Conducted model experimentation with regression algorithms to identify the most suitable approach
• Created a Streamlit app with User Interface to predict the students’ performances inside a Web Application while deploying the model on Cloud

Heart Disease Prediction | March 2024

Technologies: Python, Scikit-learn, Streamlit

• Orchestrated the development of Support Vector Classifier (SVC) to predict heart disease, achieving impressive rate of 97.0% and surpassing industry benchmarks
• Derived actionable insights from massive data sets with minimal support
• Developed end-to-end machine learning prototype and scaled it to run in production environment while deploying it on Cloud environment using Streamlit App
• Conducted model experimentation with regression algorithms to identify the most suitable approach
• Created a Streamlit app with User Interface to predict the students’ performances inside a Web Application while deploying the model on Microsoft Azure