NGILLA Simon Diange
I’m NGILLA Simon Diange, a data analyst/scientist and software engineering professional with a strong focus on machine learning, data preparation, and business intelligence.
About
I’m NGILLA Simon Diange, a data analyst/scientist and software engineering professional with a strong focus on machine learning, data preparation, and business intelligence. I enjoy turning raw data into clear insights through dashboards and reporting, and then backing those insights with practical predictive modeling ideas like churn and fraud detection.
I also bring hands-on experience from IT operations and software initiatives, where I worked with Python and built small application concepts using Streamlit. I’m motivated by building data-driven solutions that help organizations make better decisions, and I continuously improve my skills in analytics, SQL/Python, and data storytelling.
- 3 years' experience
- Joined November 2026
Skills· 11
Languages
- EnglishFluent
- FrenchIntermediate
Industry experience
- Software & Internet
- Computers & Electronics
- Government
- Professional Services
- Transportation & Logistics
Work experience· 4 roles
Supported IT operations and participated in ongoing software and technology initiatives within the IT Service. Worked with Python, Java, HTML, and Streamlit during practical software development activities. Contributed to project concepts including a Pop-up Notification System for connected office machines and the Port Community Voice application. Helped with troubleshooting, system support, and operational technology-related tasks.
Develop practical data analytics and technology solutions for businesses and organizations. Work on data cleaning, visualization, Power BI dashboards, reporting, and predictive modeling concepts. Create business-focused analytics ideas such as customer behavior analysis, churn and sales/revenue forecasting, and fraud detection concepts. Translate technical analysis into recommendations intended to support decision-making.
Develop practical data analytics and technology solutions for businesses. Work includes data cleaning, visualization, Power BI dashboard creation, reporting, and exploring predictive modeling concepts. Contribute to business-focused analytics ideas around customer behavior, churn, sales/revenue forecasting, and fraud detection, translating technical results into recommendations that support decision-making.
Education
Certifications and awards
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