mohamed_ashour_profile_2017

Curriculum Vitae – Mohamed Ashour 1 KXEN PROFESSIONAL CERTIFIED

Profile & Objective

An exceptional international Telecoms IT & Marketing Experience, currently Senior Technology Consultant with

SAP previously Segmentations & Data Mining Manager with Etisalat Egypt, Advanced Analytics Expert with

Etisalat as well as Data warehouse ETL Analyst with Vodafone Egypt, and now seeking a new professional

challenge. Fluent in Arabic and English.

His experience encompasses Customer Life-cycle Management (acquisition ,ARPU uplift , loyalty, retention and

win-back), Customer Insight & Market Research, Marketing Campaign Management, Segmentation, Customer

Value Management, Customer Experience, Big Data & Data Mining Projects and he has been involved with

group-level strategy development. Specifically, is highly skilled in advanced analytics and data-mining (KXEN,

Clementine, SAS Enterprise, Teradata warehouse Miner), statistical software (SPSS), financial analysis, relational

databases, SQL, Data warehousing , Data Cleansing , Sources integration project management as well as

departmental leadership.

Results oriented professional and converting information into insights actions ATL/BTL integrated with the data

mining and statistical models. Essentially move from product to customer centric approach

Additionally, is a highly-regarded manager with exceptional interpersonal, presentational and communication

skills who brings real passion and commitment to his work.

His great remarkable achievements Increased the total incremental revenue by identifying the business opportunities and business risk for

each customer, this framework includes the full CVM cycle and the campaign prioritization engine

based on gain/Loss.

Increased the services acquisitions, up lift the customer revenue and increase the number of recharges

using the duality prediction model, SNA and Recharge segmentations.

Increased the poaching by targeting specific cross-net segments.

Decreased the monthly revenue loss by predicting the monthly churners and the droppers.

Developed comprehensive CVM framework including “Pre-analysis, Micro-segments, CM, Post

assessment, Reporting and Dashboards “based on the modern statistical techniques.

Decreased the time to market the consumer products.

Big Data analytics setup and the needed foundation layer including the CVM propositions using the

real time data.

Work Experience SAP, Egypt Feb 2016 to date

Senior Technology Consultant, Global Data Science,

Customer Innovation & Enterprise Platform.

Supporting D&T and Analytics Sales via Industry thought leadership, Innovation workshops, delivery of advanced

analytics use cases to customers and creation of repeatable success stories.

Support SAP to build innovative products focusing on the market demand in different industries.

Focusing on the Telecom industry “Technology development, Analytics and Marketing analytics”.

Support SAP to build smart and dynamic data monetization business cases supported by demos, and serving

multiple industries.

Lead the data science discussion with the customers and propose new modern techniques to solve the customer

issues and to enhance the marketing performance.

Support SAP customers to build their own long-term strategy and design the complete framework required to

achieve this strategy.


introducing new predictive models and segmentation frameworks, churn management models, post/pre

promotions modeling and customer profitability models to support the customer strategic objectives using SAP

solutions

Introduced new intelligent mythologies to measure the customer’s operations efficiency.

Etisalat, Egypt June 2012 to Feb 2016

Segmentations & Data Mining Manager

Delivers a world-class segmentation framework to support CVM & commercial to achieve the annual

revenue target.

Identified the high value churners & droppers and save the monthly revenue bleeding.

Increased the total incremental revenue by identifying the business the opportunities and business risk for

each customer, this framework includes the full CVM cycle and the campaign prioritization engine based on

gain/Loss

Identified potential revenue opportunities from new customer segments.

Developed and executing targeted marketing initiatives that drive customer growth both in volume and

value terms.

Led the execution of multiple BTL activities (up-sell, x-sell, ARPU developments, retention, etc.) based on data

mining models and insights.

Supported Segments and Planning Teams with regular business reviews and analysis to monitor the

execution of targeted Marketing Campaigns.

Developed micro segmentation to support commercial decision making on all levels: global reporting, local

planning, value proposition development, targeted communications as well as marketing operations.

Developed complete marketing products using analytics, data mining and the new systems capabilities

Developed the competition defence line using the data mining.

Introduced new and highly-effective micro-segmentation to support commercial decision making.

Managed an ongoing body of high-quality intelligence predictive models.

Established a new approach for extracting representative samples from specific populations for the purpose

of Market Research, Analysis, Tracking and Profiling.

Worked closely with technology to define future data requirements for data modelling and analysis.

Developed a new segmentation reporting suite and dashboard(s) to ensure the integration of the final

segmentation products with group systems and processes.

Etisalat, Egypt June 2008 to June 2012

IT Advanced Analytics Expert

Managed high-quality intelligence predictive & analytical models, used to support the commercial strategy

& decision-making.

Developed new data mining models and segmentation frameworks, churn management models, post/pre

promotions modelling and customer profitability models to support the strategic objectives.

Developed a predictive model to identify potential churners with accuracy of 70+%.

Played a key role in the establishment of Behaviorally Driven Segmentation “Top-down” of high value

customers to support campaign targeting / selection.

Improved the operational excellence and productivity “ quantity & quality” by ensure meeting the required

due dates, ensure meeting the quality standers, one minute management on analytics team ,support team

new comers, enhance the work methodology and techniques ,2nd eye for analytics team deliverables and

by periodical knowledge transfer sessions.

Played a key role in the establishment of the Data warehouse plans to meet the expectations and attracting

new business areas

Introduced new intelligent mythologies to measure the campaigns efficiency.


Supported informational and analytical needs by providing integrated and transformed enterprise-wide

historical data from which to do management analysis

Manages data scientists to ensure the provision of analysis to Marketing Teams.

Vodafone, Egypt June 2007 to June 2008

Data Warehouse ETL Analyst

Developed new extraction models and Defining the correct level of summarization to support everyday

tactical decision making and long-term business strategies.

Introduced subject-oriented, integrated, time-variant, non-volatile collections of data used to support

analytical decision making.

Provided history describing data origins, updates, algorithms used to summarize data, and frequency of

extractions from operational systems.

Provided the business community with access to accurate, consolidated information from various internal

and external sources.

Developed Extraction, aggregating, transforming and validation models to ensure accuracy and

consistency.

Supported informational and analytical needs by providing integrated and transformed enterprise-wide

historical data from which to do management analysis.

Determined which business subject areas provide the most needed information prioritize and sequence

implementation projects accordingly.

Defined the iterative population projects based on business needs and data validation.

Analysed the prioritized predator value stream or most important strategic initiative to determine the specific

business questions that need to be answered through a Warehouse implementation.

Organized the sources and stores of business information and defines the quality and management

standards for data.

Developed complex analytics queries to support the business requirements.

Tracked and analyzed the affection of the large projects on data warehouse models, highlight the affected

models and plan for updates with my team.

Cable Network Egypt - CNE, Egypt Oct. 2004 to June 2007

Business Analyst & Programmer

Developed, evaluated work methods, procedures, controls and design new rules and procedures to cover

and tune business needs.

Provided the feasibility of, and develops requirements for, new systems and enhancements of existing

systems, to ensure meeting the business needs.

Played a key role between end-users and IT team in analysis, design, testing, implementation and

maintenance of business intelligence solutions modules to ensure optimal system performance.

Interfaced with users to interpret and clarify complex configuration details and business processes

requirements involved in business environment.

Evaluated the operational effects of all business intelligence solutions.

Played a key role in the evaluation, planning, development, deployment and ongoing use of database

mechanisms.

Provided interface design, content research, development, and synthesis to all organization business

solutions.

Developed alternative facility layouts to reduce user problems.

Developed New Communication Layer Between (AVAYA, AIC, BCMS, PBX and Oracle)


Modern Technical Systems - MTS, Egypt June 2003 to Oct. 2004

Programmer

Developed new database solutions & ERP.

Professional Strengths Industry and technology

Telecommunication, Banking, Media production, Food Industry.

Duality models , Social Network analysis , Social Media Analysis , Next best Activity , Big data , Network

performance Analytics , Micro-segmentation , Churn prevention models ,customer profitability , Competition

analysis.

Analytics and Modeling

Advanced analytical skills (in predictive and descriptive analysis).

Experience of analyzing large data sets and presenting strategy recommendations.

Build analytical Dataset (ADS).

Advanced skills in analyzing/building the campaigns segment as well as the post analysis to measure the

campaigns efficiency.

Analysis and interpretation of the various data sources to deliver value adding insights

Problem solving techniques based on the mathematical and statistical models.

Data profiling, analyzing and scoring based on statistical algorithms.

Data Warehouse.

Data warehouse logical /physical modeling and Meta data management tools.

Campaign management tools and techniques.

Build subject-oriented, integrated, time-variant, non-volatile collections of data used to support analytical

decision making.

Measure the quality, availability, and related costs of needed source data at a high level.

Migrations and/or integration projects and business intelligence projects.

Optimizing data warehouse data delivery methods and performance, as well as to contribute to the long

term strategy of the data warehouse.

The maintaining process of existing and development of new Data warehouse ETLs.

Identifying problems or inconsistencies with source data feeds and leading resolution maintaining standard

code sets.

Using mainstream ETL tools (Ascential) Data stage Server and Enterprise (PX).

Designing extraction routines to create and replenish Data Marts.

Designing the extraction, transformation and load routines for initially loading and subsequently updating

the contents of the Data warehouse.

Able to deliver high quality results and manage the business user’s expectations.

Software and business development

Understanding of end to end systems development and delivery life cycle with experience of business

analysis, system design and delivering business solutions to customers.

Organize and manage functional elements of the business intelligence systems.

Experience in collecting and transforming high level business requirements into full functional specifications

using industry standard notation.

IT and Productivity suite

KXEN Analytic Framework, Teradata Warehouse Miner, SPSS, SAS, Arena, MINITAB, Ascential DataStage ,

Sybase Power , Teradata campaign Management TRM, Microsoft Visual Basic 6 , Microsoft Visual Basic .net ,

SQL & PL SQL, Unix Shell Script, C++, VBS, Teradata , Oracle 9i, IBM DB2, Microsoft SQL Server 2000,PostgreSQL


8.0, Sybase, Unix Shell Scripts , VB Script, Sun Solaris , IBM AIX , Red hat Linux , Microsoft windows, Quest Toad

For Oracle ,Crystal Report XI.

Professional & Education

KXEN Professional Certified, KXEN, Paris, 2010.

Teradata Warehouse Miner Certified, Teradata, Cairo, 2009.

Ascential Datastage, IBM, Cairo, 2008.

B.Sc. Computer Science, Faculty of Computers and Information, Cairo University Graduation Year 2003.

Personal Details Telephone +971502105818 , +201111211118

Email [email protected]

Nationality Egyptian

Current Base Cairo, Egypt (flexible regarding location of next challenge)

Languages Arabic (mother tongue), English (fluent)

REFERENCES AVAILABLE ON REQUEST

mohamed_ashour_profile_2017

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