Muhammad Ali Zia

- Creating machine learning Models to predict which cloud customer issues might become critical in the future. - Creating Fiori UI5 applications. - Creating Excel Macros.

Predicting profitability of telecom customers on line item time series data using verious machine learning algorithms to see which one provides better results.. The thesis involved extensive data cleaning and restructuring 4 billion records. Primary languages used are R and SQL. Primary DB used is SAP HANA

Outlier analysis on telecom sector data to be able to identify subscribers which behave contrary to their peers in terms of profitability. Corelation analysis with services to identify behaviors that lead to higher or lower profits.

- Creating and updating financial forecasting reports for executive decision making. - Creating and tweaking complex SQL Queries - Monitoring Budget Data - Forecasting on time series data - Creating and updating pivots - SharePoint solution creation and maintenance - Making new HANA reporting solution ready for deployment - Effective communication with Colleagues to meet reporting needs

- Developed the website for Shifa Foundation. - Created an office management portal on microsoft Sharepoint. - Configured open source POS written in Java to be run on charitable shops run by the organisation. - Provided predictive analytics and Big data services for effective executive decision making. - Launched and managed servers. - Recieved multiple awards and bonuses from the organisation in recognition of my work.

Specialization Track Data and Web Sciences