Testimonials

  • Pinned
    Francis instituted statistical analytics systems that have boosted the operations of Food Research Institute (Ghana). He’s the ideal Statistician! I recommend him VERY STRONGLY!!!
    Dr. Jonathan Ampah, Statistical Development
  • Pinned
    Francis is a results-oriented personality who worked with me on a project in my Institute. I recommend him highly; he amazed us and produced required deliverables in record time.
    Dr. Elvis Baidoo, Data Analytics
  • Pinned
    The webinar was very insightful because as a statistician, am very much interested in data science and you gave me clarity on the direction to follow and the job prospects in this field .
    Anonymous
  • Pinned
    It was eye opening
    MAKINDE Mamoke
  • Pinned
    A comprehensive and insightful discussion! Looking forward to attending more.
    Duncan Kaitira
  • Pinned
    Francis’s office hour session was incredibly helpful! His guidance boosted my confidence and gave me a clear path forward. Highly recommend
    Hollo Benard Mahongo

Services

Ratings and feedback

4.6/5
24 ratings
22
Testimonials
5/5
He gave me amazing advice and tips about what I asked. And he also did it in an efficient way.
5/5
Hi Francis, I'm Olumide Olaoye from Lagos, Nigeria. Although I joined very late due to some technical glitches from my end, all the same, it was an insightful session. I work as a Data Analyst in the healthcare space and I learned many things from your discussion. I also plan to get a masters degree in data science in the nearest future. Hence, I am looking forward to collaborating and learn more from this community and can't wait for the next sessions of DS Office Hour. Thank you so much for your time. Regards, Olumide
5/5
This was technically a Master Class Office Hour! The session helped to clarify many myths about the journey to and through the world of data and data science.
5/5
A very helpful insight, really amazing!

About me

Research interest: (1) methods for integrating surveys with emerging data sources and (2) methods for evaluating and improving the quality of the resulting data using theories from survey methodology.