About Ndubisi
- Health research and impact evaluations
- Machine learning for classification and forecasting
- Geospatial and demographic analysis
- Survey analysis and statistical modeling
- Automated reporting and dashboard development
English
Native or bilingual
Experience
- National Bureau of Statistics,Statistician (NYSC)August 2024 - Today (1 year and 10 months)Osogbo, OS, Nigeria• Contributed to national research projects, including household surveys and Consumer Price Index (CPI) data collection, improving the reliability of economic indicators.• Delivered 3-month technical training workshops to SIWES students and interns, introducing statistical software (SPSS, R, STATA) and quantitative analysis techniques.• Collaborated with other government statisticians on data validation processes, ensuring data accuracy and completeness for national reporting.
- W.Tech Software Development Limited,Senior Data Scientist (Remote)January 2024 - January 2025 (1 year)Liverpool, England, United Kingdom• Led training programs for early-career professionals and business owners, integrating data science and analytics into real-world use cases to solve workplace inefficiencies.• Developed custom dashboards and business intelligence reports using Power BI and Python Dash, improving client decision-making and operational strategy.• Applied Agile project management techniques to effectively train students on the use of R, Python, SQL, and Tableau, monitor progress, and evaluate learning outcomes, resulting in high satisfaction rates, which led to a 50% increase in enrollment and a 300% increase in direct student referrals within four months.• Supervised junior analysts and interns, fostering a collaborative learning environment focused on practical, results-oriented analytics.
- NDSTAT Tech Innovations,Lead Statistician and Senior Data ScientistJanuary 2022 - January 2024 (2 years)Akure, Ondo, Nigeria• Spearheaded data science solutions across domains such as finance, healthcare, and agriculture, leading cross-functional teams in the design and deployment of AI models and predictive analytics tools.• Designed and implemented scalable machine learning pipelines in Python and R, streamlining data acquisition, cleaning, and feature engineering processes, which reduced turnaround time by over 40%.• Championed internal and external capacity-building programs, mentoring over 100 junior data professionals in advanced analytics, machine learning, and model deployment using MS Excel, Tableau, Power BI, Python, R, and SQL.• Managed communication and negotiation with local and foreign clients, ensuring full understanding of client needs and reviewing results to ensure alignment with standards and the client's objectives. This approach led to over 96% conversion rate and consistently high client satisfaction.
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Education
- Bachelor of Technology (B.Tech.) in StatisticsFederal University of Technology2024Bachelor of Technology (B.Tech.)
- Google Data AnalyticsGoogle2024Google Data Analytics