Finance with Data

Inspiration

Finance and Banking have a vast potential market that is overlooked.

What it does

Analyzes financial public domain data to find gaps in the potential market

How we built it

The project uses an intensive Python framework for cleaning and visualizing the provided data.

Challenges we ran into

Getting the data cleaned and in the proper format was a challenging task.

Accomplishments that we're proud of

The code is extensive and handles most inconsistencies in the data files. I am most proud of having written that.

What we learned

I learnt a lot about how financial data can be leveraged in most industries to target the overlooked markets.

What's next for Finance with Data

Finance is a huge field and has a lot of exploration left. I plan on exploring more avenues in the field.

Built With

• python