Ahmed Alosaimi

CEO

Saudi Arabia9 yrs 8 mos experience
Highly Stable

Key Highlights

  • Founded Data Technology department to drive data initiatives.
  • Launched automated reporting platform saving 10M SAR annually.
  • Developed predictive models reducing customer churn by 40%.
Stackforce AI infers this person is a Telecom Data Science and Business Intelligence expert.

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Skills

Core Skills

Data StrategyBusiness IntelligenceData ManagementData GovernanceData Mining

Other Skills

.NETA/B TestingASP.NETAdvanced AnalyticsAnalysisAnalytical Data SetsAndroid DevelopmentAutomationBig DataBig Data AnalyticsBusiness StrategyC#C++CLDMCampaign Management

About

10+ Years of Experience in Data Science, Business Intelligence, DWH and Telecom Business, Smart city and Government. Have a concrete skill in data strategy, data governance, data implementation (data management & business intelligence) and data monetization. Responsible also for Selecting, configuring and implementing analytics solutions. Participated and managed many projects like: Building analytics layer to support business transformation, Building data warehouse from scratch, Building and enabling business to use reporting self-service tools.

Experience

Monshaatsa

Data Technologies Director

Feb 2021May 2023 · 2 yrs 3 mos · Riyadh, Saudi Arabia

  • Successfully founded the Data Technology department, encompassing data management, business intelligence, and data solutions, to centralize and optimize the organization's data-driven initiatives and foster a culture of data-driven decision-making.
  • Responsibilities:
  • Develop and execute a comprehensive data strategy and roadmap, transforming the organization into a data-driven entity.
  • Construct a future-proof data organization capable of harnessing the full potential of data assets.
  • Create a robust Data Management Platform to acquire and integrate internal/external data, while expanding data partnerships to address organizational requirements.
  • Unlock the true value of data by delivering data-driven solutions to inform decision-making processes.
  • Provide data products tailored for SMEs, addressing the data gap in the Saudi market and empowering businesses with actionable insights.
  • Main Achievements:
  • Developed and implemented a comprehensive data strategy, leading to increase in data utilization and opening up new opportunity for the organization.
  • Designed and implemented a highly-efficient operating model, including streamlined processes and policies.
  • Spearheaded the establishment of a robust Data Management Platform, integrating over 30 internal and external data sources.
  • Delivered data-driven solutions for key decision-makers across various departments.
  • Pioneered the creation and launch of multiple data products/solutions for SMEs.
Data ManagementBusiness IntelligenceData StrategyData GovernanceData Solutions

Stc

4 roles

Data Management Section Manager

Promoted

May 2019Feb 2021 · 1 yr 9 mos

  • Manage Data Management Section in STC Enterprise Units
  • Responsibilities:
  • Develop a strategic plan to improve the reporting function, ensuring that it professionally serves the organization's business needs.
  • Oversee and manage the Data Management budget and performance targets.
  • Direct all data-related activities, including the development of data solutions and delivery of one-time reports.
  • Ensure adherence to data governance policies across all data activities, while continuously refining processes for optimal efficiency.
  • Spearhead the advanced data analytics program and facilitate the implementation of an analytics-driven environment across all Enterprise Business Unit functions.
  • Main Achievements:
  • Launched the largest digital transformation project for the EBU-Data Management team, introducing an automated Reporting Self-Service platform that reduced business report requests by 90% and saved the company over 10M SAR annually. This innovation also improved the Time to Market for report delivery from an average of 2 weeks to just 10 minutes.
  • Implemented data governance practices encompassing data protection, data quality, and the creation of a unified KPIs catalogue.
  • Enhanced collaboration between STC internal departments, leading to a 30% improvement in overall SLA request completion rates.
Data ManagementData GovernanceReportingAdvanced Analytics

BI/Data Science Team Lead

Promoted

Mar 2017May 2019 · 2 yrs 2 mos

  • Leading the BI Team Unit in STC Proactive Retention team in STC consumer sector.
  • Responsibilities:
  • Develop and execute a comprehensive Retention BI plan to enhance customer loyalty and reduce churn.
  • Analyze STC Consumer data to uncover the root causes of churn, leveraging intelligent insights and Data Discovery Methodology.
  • Implement predictive modeling and customer behavior segmentation for marketing retention initiatives.
  • Administer the proactive retention matrix, categorizing offers based on customer behavior and values.
  • Continuously evaluate the effectiveness of all retention activities, using data-driven insights to optimize department performance in campaigns, models and offer mapping.
  • Main Achievements:
  • Developed and executed a successful Retention BI Strategy, leading to reduction in customer churn and increase in customer lifetime value.
  • Identified crucial churn root causes using data-driven insights; one of our studies significantly contributed to a 40% reduction in churn within a specific business stream.
  • Successfully managed Data Science activities, delivering several high-impact predictive models that contribute in our business transformation plan to move from react to proact business unite.
  • Optimized the proactive retention matrix, personalizing offers based on customer segments and profiles, leading to a 60% increase in offer acceptance.
  • Successfully automated existing dashboards and their corresponding processes, streamlining the data visualization workflow and enhancing decision-making efficiency for stakeholders.
Business IntelligenceData AnalysisPredictive Modeling

Advanced Analytics Modeler

Promoted

Jan 2015Mar 2017 · 2 yrs 2 mos

  • Working with STC Data Mining team in IT Sector.
  • Responsibilities:
  • Collaborate with STC Business units to understand and translate business requirements into technical documentation.
  • Design, develop, and evaluate Analytical Data Sets (ADS) and models using various data mining algorithms and evaluation techniques to uncover insights and trends.
  • Implement models into Teradata SQL procedures (scripts) for seamless integration and visualize data and insights using Tableau Software to facilitate data-driven decision-making.
  • Main Achievements:
  • Successfully built a Data Mining Team, leveraging the CRISP-DM methodology to deliver high-quality analytical projects.
  • Developed and deployed multiple Analytical Data Sets (ADS).
  • Effectively managed the delivery of numerous predictive models, driving data-driven insights and empowering the organization to make informed decisions, leading to improved business outcomes.
Data MiningAnalytical Data SetsSQL

Business Intelligence / DWH Developer

Sep 2013Jan 2015 · 1 yr 4 mos

  • Working with STC Business Intelligence Department in IT Sector.
  • Responsibilities:
  • Collaborate with STC Business units to gather business requirements and analyze their needs and rules.
  • Ensure data availability and quality for the development of business intelligence solutions.
  • Create comprehensive technical documentation, including mapping between DataMart and EDW, and generating test cases.
  • Develop the business Aggregation Layer and create procedures to optimize efficiency and minimize redundancy.
  • Conduct initial tests to validate the generated Aggregation Layer and confirm that it meets the business requirements.
  • Deliver data to the business, ensuring that reports align with their needs and expectations.
  • Manage daily operational tasks related to the Aggregation Layer, adapting to changing business demands as necessary.
  • Main Achievements:
  • Successfully delivered over 40+ enterprise reports, catering to a wide range of business needs and requirements.
  • Developed and deployed 10+ Aggregation Layers with diverse roles, ensuring optimal performance and alignment with business objectives.
  • Identified and resolved major quality issues in the Aggregation Layer, significantly improving the reliability and accuracy of business intelligence outputs.
  • Played a key role in a team responsible for the complete restructuring of the Aggregation Layer, enhancing efficiency and better addressing the needs of the business.
Business IntelligenceData AggregationTechnical Documentation

Education

Imam Muhammad ibn Saud Islamic University

Bachelor's degree — Computer Science

Jan 2009Jan 2013

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