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Ndubisi U.NU

Ndubisi U.

Statistician and Data Analyst

€289/day
Lagos, NG
3-7 years

Average response time: 1 hour

About Ndubisi

As a Statistician, Data Analyst, and Biostatistics Specialist, I help researchers, businesses, and organizations unlock actionable insights from data—turning complex datasets into clear, evidence-based decisions that drive growth, impact, and innovation.

With over 5 years of experience spanning healthcare, public policy, education, and finance, I bring a rare blend of advanced statistical knowledge, machine learning, and real-world problem-solving. My toolbox includes R, Python, SQL, STATA, SPSS, and Power BI, and I specialize in delivering clean data pipelines, predictive models, geospatial insights, and publication-ready reports tailored to your objectives.

Whether you need to evaluate public health interventions, analyze market trends, publish high-quality academic research, or improve operational efficiency, I offer solutions grounded in scientific rigor and business relevance.

What sets me apart is not just technical proficiency, but deep cross-functional collaboration. I've led multidisciplinary research teams, advised ministries of health, and trained data professionals—always ensuring that data insights are aligned with stakeholder goals.

Typical projects I handle include:
  • 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
Every project is unique. Every client has a goal. I focus on what matters most to you—clarity, quality, and actionable insights. If you want a reliable partner who delivers high-impact analysis with professionalism and purpose, let's connect.
  • English

    Native or bilingual

Remote only
Primarily works remotely

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 Scientist
    January 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 Statistics
    Federal University of Technology
    2024
    Bachelor of Technology (B.Tech.)
  • Google Data Analytics
    Google
    2024
    Google Data Analytics

Skill set

Categories