Funmilayo Aina
About Me
I am a data specialist with Microsoft certification. I am passionate about creating cutting-edge software solutions, and I have an MSc in data science from Nottingham Trent University. I’ve worked on data science, research, and advanced analytics projects.
In addition, I’ve written effective analytics plans and have programming knowledge. I have strong interpersonal and technical abilities, and I’m passionate about using data to make informed decisions. I am also willing to advance in my career and have a quick learning curve for new technology.
Education
Nottingham Trent University United Kingdom
MSc Data Science(FT)
Tech4Dev (Women Techsters Fellowship)
DS and AI Fellowship
University of Lagos
STEM Education (double major)
Work & Experience
Research Coordinator(Volunteer)
TesYouth United Kingdom
Project/Research Coordinator Data Analytics
Software Development Planner (Junior C# Developer)
U2A Solutions UK
• A junior developer among a team of 6 software engineers responsible for building web apps using C#/.NET. • Developed software with team and implemented effective project management using Gantt Chart, Git, Bit Bucket and CI/CD • Designed and implemented successful users’ stories and improved project delivery timeline. • Responsible for improving code quality and project quality using software testing.
Data Analyst
Sterling Bank Plc
• Built a functional RFM customer analytics model for enterprise use using R programming. • A trainee data analyst among a team of 15 data specialists responsible for delivering reports from impactful insights using Power BI. • Data extraction from systems and conducted analysis on information retrieved using tools like Python, R, Microsoft Excel, thereby improving customer retention. • Provide data solution, and capabilities to enable self-service frameworks for stakeholders. • Presentation of reports to stakeholders using designer and MS Power Point.
Data Analyst
DigitAnalytix (PTY)
• Prepare reports, dashboards and other visualisation on in-house data to provide meaningful insights. • Analyse and interpret data using various analytical and statistical tools, Python, SQL and documentations. • Work daily with business management in order to prioritise business and information needs. • Improved business outlook by up to 2% and facilitated decision intelligence.
