Meriç Çevik Email and Phone Number

Internal entrepreneurs in pursuit of continuous improvement using advanced analytic techniques to provide business to next level.

-Implemented prediction model process of customers' dunning sensitivity in order to optimize the accurate dunning process to accelerate the collection of overdue invoices and consequently, fast collection of invoices by 18%. Done data engineering in Impala, modeled in Python.-Developed various dashboards to monitor instant sales performance of Corporate Segment Sales Department such as target realization, profitability, quality of portfolio etc. via graphs,pivots etc. Done data engineering in SAS Enterprise Guide , developed dashboard in Qlik Sense.-Established Self Service Analytics platform where business departments have access to build their own ad-hoc predictive models via Jupyter notebooks connected to structured data lakes consisting of customers historics such as financial,demographics etc. Provided consultancy to departments on realizing analytical skills on business processes.-Has given courses consisting of querying in SAS Enterprise Guide to employees to build their own data marts and provide their data engineering skills.

Developing SAS EG queries for automatization of certain reporting processes.Tracking sales performance of sales channels.Optimization of ad-hoc reports.Predictive reporting of various KPI's such as queueing time, work load etc.

Budget Planning, Segment Analysis, Revenue Managing, Marketing

Data Process, Statistical Analysis

Predictive Modelling