Muhammad Saeed

• Conduct thorough analysis of Customer, Sales data, Marketing campaigns and also evaluate performance metrics.
• Identify sales growth opportunities and Focus on Target groups.
• Implement solution to improve customer Satisfaction and Proactive Monitoring for Omni channel.
• Prepare detailed performance reports to optimize Marketing Strategies.
• Collaborate with product management to analyze existing product performance.
• Initiate data-driven projects for improved data collection systems.
• Design data models to transform raw data into meaningful insights in the BI context.
• Create interactive dashboards and reports using Power BI and Looker (Data Studio).
• Identify and monitor Key Performance Indicators (KPIs) with clear objectives.
• Implement alert systems and scorecard functionality using Power Automation.
• Analyze data and present it through reports to aid decision-making, utilizing filters and graphs.
• Translate business requirements into technical specifications and establish task timelines.
• Develop and deploy Power BI/Big Query SQL scripts, perform DAX queries, and work with data flows
and data marts.
• Perform data warehouse development and optimize SQL querying for best results.
• Make technical improvements to existing BI systems to enhance their functionality and transform data
into insights.
• Possess a wide range of skills and knowledge in data warehousing, ETL processes, Power BI platform
operation, analytics tools, and various programming languages like Python, R, and experience with
cloud platforms like Azure Data Factory and Microsoft Power Automation.
• Enhancing the digital customer experience through data analysis.
• Analyzing eCommerce platforms and consolidating diverse data sources.
• Creating actionable recommendations by building dashboards and collaborating with product owners
for continuous improvement.

Conduct thorough analysis of customer, sales data, marketing campaigns, and performance metrics.
Identify sales growth opportunities and focus on target groups.
Implement solutions to improve customer satisfaction and proactive monitoring for omni channel.
Prepare detailed performance reports to optimize marketing strategies.
Collaborate with product management to analyze existing product performance.
Initiate data-driven projects for improved data collection systems.
Design data models to transform raw data into meaningful insights in the BI context.
Create interactive dashboards and reports using Power BI and Looker (Data Studio).
Identify and monitor key performance indicators (KPIs) with clear objectives.
Implement alert systems and scorecard functionality using Power Automation.
Analyze data and present it through reports to aid decision-making, utilizing filters and graphs.
Translate business requirements into technical specifications and establish task timelines.
Develop and deploy Power BI/BigQuery SQL scripts, perform DAX queries, and work with data flows and data marts.
Perform data warehouse development and optimize SQL querying for best results.
Make technical improvements to existing BI systems to enhance their functionality and transform data into insights.
Possess a wide range of skills and knowledge in data warehousing, ETL processes, Power BI platform operation, analytics tools, and various programming languages like Python, R, and experience with cloud platforms like Azure Data Factory and Microsoft Power Automation.
Enhance the digital customer experience through data analysis.
Analyze eCommerce platforms and consolidate diverse data sources.
Create actionable recommendations by building dashboards and collaborating with product owners for continuous improvement.

Conduct a literature review on customer satisfaction and its correlation with business growth.
Analyze key performance indicators (KPI) across various databases.
Create a comprehensive report that consolidates all KPIs into a single view, enabling a detailed customer satisfaction analysis by customer.
Develop a predictive model for customer satisfaction using classical customer feedback data.
Identify and calculate leading and lagging KPIs in collaboration with the Business department, and implement predictive analysis using R with Qlik, selecting the most suitable algorithm based on the desired results.

Demonstrates a quick understanding of business relationships.
Builds strong relationships with key business stakeholders.
Places a strong emphasis on data accuracy and is detail-oriented.
Proficient in using database software, including SQL, MS-SQL, Teradata, Oracle, Qlikview, and MS Access.
Develops practical solutions for business intelligence (BI) challenges.
Has experience with the Microsoft business intelligence suite, particularly Power BI.
Capable of managing multiple priorities simultaneously.
Utilizes creative thinking to devise innovative solutions.
Successfully completed a project for different departments at GlobalFoundries, involving the creation of a customized QlikView dashboard.
The dashboard supports interactive navigation, drill-down analysis, and offers dynamic KPIs based on various calculation methods, serving as a significant advancement in data discovery by integrating multiple data sources automatically.

Operational and configurational activities for mobile apps, including in-house and third-party systems.
Management of new requirements and developments for biometric systems.
Business reconciliation and inventory processing in coordination with finance, fraud, and corporate teams.
Leading post-deployment testing for new developments in digital apps.
Ensuring IT CRM SLA compliance for ticket resolution with developers and vendors.
Core operations for managing biometric requests from different channels.
Leading the implementation of a new OTA platform for third-party and in-house apps.
Conducting weekly UAT activities for new requirements from business and end users.
Strong expertise in basic SQL operations and procedure writing.
Deployment activities related to CRM systems and operational knowledge of IBM WebSphere.
Create interactive reports and dashboards using different types of BI tools.
Design data models for converting raw data into meaningful insights in the BI context.

Conduct pre and post-development testing to ensure systems meet end-user requirements, specifications, operational manageability, and are error-free.
Responsible for collecting, analyzing, and interpreting data to provide valuable insights for guiding business decision-making.
Create reports, dashboards, and data visualizations to present findings, facilitating stakeholder understanding of data trends, patterns, and opportunities.
Work with diverse data sources and tools like SQL, Excel, and data analysis software to clean and manipulate data for analysis.
Collaborate with cross-functional teams to identify key performance indicators, track metrics, and develop data-driven strategies.
Contribute to process optimization, improved customer experiences, and organizational growth through data-driven insights.
Lead post-deployment testing for Customer Billing System (CBS) against CRM.
Ensure IT CRM Service Level Agreements (SLA) are met for ticket resolution.
Manage requests from different channels in Digital Services Core Operations.
Possess expertise in basic SQL operations and procedure writing, middleware operations, CRM development, deployment activities related to CRM systems, and operational knowledge of IBM WebSphere.

Backup monitor.
How to run the backup if not successfully.
Insertion and ejection of tapes from tape library.
Automate backup tapes record (label and tag the tapes).
Monitor the data center environmental condition and live server’s status.
Knowledge about BOSS hardware (cables type, system boards, input/output board).
Complete understanding of Sun & Vision Application.
Know how about the basic SQL.