Jimiama Mosima Mafeni Mase

I have more than 5 years of data analytics and artificial intelligence experience, contributing to diverse projects in transportation, electrochemical engineering, biochemistry, healthcare, aerospace, fintech, affective computing and behavioural science. Proficient at developing, automating and deploying predictive AI models and data pipelines on cloud and on-premise infrastructures. Proficient at conveying complex technical concepts to both technical and non-technical stakeholders, facilitating collaboration and project understanding.

Data Scientist Engineer                                                       January 2019 – September 2023

Digital Research Service - University of Nottingham, United Kingdom

• Liaised with clients to define objectives and ensure project deliverables meet their expectations and requirements. 
• Utilised state-of-the-art data analytics techniques to uncover insights in large data sets, optimise decision-support systems, build predictive solutions, develop dynamic reporting/visualisations dashboards and perform hypothesis testing. 
• Investigated data quality issues and provide recommendations to improve data quality.
• Developed data storage systems, data ETL pipelines, model deployment and monitoring.
• Collaborated with the IT/software team to develop coding standards, software requirements, hardware requirements, communication standards and documentation. 
• Developed an online data analytics toolbox for automating data modelling and prediction pipelines in Python.
• Developed a big data analytic solution in Apache Spark to process large streams of data in real-time and provide insights, such as anomalies.

Data Reporting Manager                                                      January 2017 – September 2018

Orange Money Cameroon, Cameroon

• Acquired business requirements from stakeholders to develop ETL solutions that extract, validate, combine and transform transactional data from multiple relational databases.
• Designed, developed and maintained a data warehouse for the cleaned and transformed data to support business intelligence.
• Generated reports for stakeholders and senior management.
• Participated in the analysis, investigation and development of fraud/anomaly detection solutions. 
• Migrated manual reporting from spreadsheets to automated reporting using Power BI, resulting in a 90% increase in reporting efficiency and accuracy. 
• Developed interactive Power BI dashboards that enabled business teams to visualize and analyze key financial metrics in real time, speeding up decision-making. 
• Developed anomaly detection algorithms that identified fraudulent transactions.

Data Analyst                                                                          November 2013 – August 2015

MnApro, Cameroon

• Analysed sales data to identify trends, patterns, and seasonality in the demand for water purification tablets.
• Developed forecasting models to accurately predict future demand in different regions and for different product variants.
• Evaluated retailer performance and perform credit risk analysis.
• Performed customer segmentation and provide insights to marketing teams for targeted campaigns and promotions to different customer segments.
• Developed a 6-months demand forecast model.
• Analysed product sales data and identified underperforming product variants and regions. 

Doctorate in Computer Science                                                         2018 - 2022

University of Nottingham, United Kingdom

Masters in Information Technology                                                  2015 - 2016 

University of Nottingham, United Kingdom

Bachelors in Computer Engineering                                                 2010 - 2014

University of Buea, Cameroon