I help enterprise finance teams build and improve business intelligence processes with commercial awareness and a proven track record of delivering high quality, innovative solutions that align with business goals.
I have worked in a variety of organisations from FTSE 100 companies to public sector organisations at all stages in Business Intelligence delivery focused on finance.
... Working against tight timelines and with very limited runway to onboard Karim played a critical role on the success of the project. He was very comfortable creating impactful analysis and bringing clarity on large and complex data sets from multiple sources.
... He brings a wealth of experience knowing how to organize data solutions efficiently and is able to articulate the different options available to the organisation.
Integrating data out of multiple different systems in order to create a financial model for storage investment.
Complete migration solution documented and handed over to business owners.
Create reporting solutions automating extraction and process from multiple data sources.
The Chartered Institute of Management Accountants (CIMA) is a UK based professional body offering training and qualification in management accountancy and related subjects. It is focused on accountants working in industry, and provides ongoing support and training for members.
This exam is intended for database professionals who build and implement databases across organisations and who ensure high levels of data availability. Their responsibilities include creating database files, data types and tables; planning, creating and optimising indexes; ensuring data integrity; implementing views, stored procedures and functions; and managing transactions and locks.
This course covered a broad set of topics critical to practical data science: relational databases, MapReduce, NoSQL, statistical variety of algorithmic topics.
Some pointers I have picked up about creating useful financial models.
Tried creating reporting dashboards online and was happy with the result.
The best way to organize a data mining project for success.