insight2impact’s DataHack for Financial Inclusion (DataHack4FI) is an African innovation competition that encourages finance, tech and data enthusiasts to collaborate in using data and analytics to solve business challenges and extend financial services to underserved communities.
Register
 
Which country’s DataHack4FI will you be competing in? *

Choose the country you wish to compete in.

 
What best describes you? *

DataHack for Financial Inclusion Season 2 is open to tech companies that collect data and emerging data scientists, which of the two best describes you?

 
What is the name of your company? *

 
Who will be the main contact person for this competition? (name and surname) *

 
What is your phone number? *

 
What is your website URL? *

 
Please describe what your company does? *

 
Number of years in operation? *

 
Number of people employed full-time?

 
Do you have a dedicated data analyst / team? *

 
Describe the data challenge you would like support from an expert to solve? *

 
Explain the impact solving this challenge will have on financial inclusion? *

 
How many active customers do you have?

 
Describe your internal data / the type of data you collect on customers?

 
What is your name and surname? *

 
What is your phone number? *

 
What city and country do you live in? *

 
Please provide the hyperlink to your LinkedIn account.

 
Please detail 3 past projects you have done which showcase your data science abilities? *

 
Why are you interested in data science applications for financial inclusion? *

 
Please attach your resume. *

 
If you have a personal website or portfolio, please share

 
Do you have time to mentor a team for 10 hours, 1hr / week for 10 weeks? *

 
Please highlight your expectations in participating in this competition

 
For all Ghana registrations, please follow the link below and register;
https://t.co/VailiV1b0t

 
What best describes you? *

DataHack for Financial Inclusion Season 2 is open to tech companies that collect data and emerging data scientists, which of the two best describes you?

 
What city and country do you live in? *

 
What is your name and surname? *

 
What is your phone number? *

 
Please tick whichever is appropriate: *


 
How old are you {{answer_65308608}}? *

 
Highest qualification obtained?

 
Year of graduation?

 
Field of study?

 
Which of the following have you had experience in (check more than one option if appropriate) *


 
Which languages can you programme in?


 
Are there data science courses or forums that you aspire to do or attend?

 
Do you have any other work experience that is relevant to data science (if yes, please explain)

 
Do you have time to work with a DataHack team regularly over a period of three to six months (note this would not be full-time)?

 
Name of your company? *

 
What is your phone number? *

 
Thanks {{answer_65522656}}, what is your website URL

 
What type of tech solution provider do you fall under? For example, fintech, app development company, healthtech or agritech, etc. *

 
Is your business registered? *


 
Number of years in operation?

 
Number of people employed full-time?

 
If other people from your company will be joining your DataHack team, please provide the names, email addresses and ages of the other team members

 
Do you have a product in the market (have you launched your tech solution)?


 
Describe your solution and the target audience for your product?

 
Approximately how many active customers/users do you have?

 
What type of data do you collect on your users/customers?

 
Is the data structured / unstructured (is it stored in a database)?


 
Do you have a dedicated data analyst/team?


 
For the competition, I would prefer to:


 
Where did you hear about DataHack4FI? *

Thank you for submitting your registration form. We will be in contact to let you know if your application has been accepted. 

Being accepted into the DataHack4Fi competition does not constitute an offer of employment, not is it a guarantee that permanent employment will be offered post-competition. 
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