Azzam Alnatsheh
👨‍💻 Data & Reporting Specialist | Certified Data Scientist | SQL • SAP HANA • Power BI • Python | Driving Efficient Reporting & Insights 📊
Data & Reporting Specialist | Certified Data Scientist
Motivated data enthusiast with 2+ years of experience in SQL, SAP HANA, and Power BI. Expertise in automating ETL pipelines, building executive dashboards, and migrating reporting systems, including a 30% efficiency gain from SAP Analytics Cloud to Power BI migration. Proven track record of partnering with Finance and Operations teams to validate KPIs and deliver real-time insights with a strong passion for teaching data concepts.
Skills: SQL | Power BI | Python | Excel | SAP HANA | BI | Data Analysis | EDA | SQL Server Management Studio (SSMS) | SAP HANA Studio
Education
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Bachelor’s of Science in Computer Engineering Qatar Univeristy (August 2018 - May 2023) -
Artificial Intelligence Certification, Data Science Specialization Zaka (November 2022)
Professional Experience
Data and Reporting Specialist (Senior IT System Adminstrator) @ Baladna Food Industries (October 2023 - Present)
Official HR Title: “Senior IT System Administrator”; Performed the duties of a “Data & Reporting Specialist”
- Maintain a Microsoft SQL database to build & monitor the ETL process of the SAP views being pulled and stored into SQL
- Migrated SAP Analytics Cloud (SAC) financial reports to Power BI which improved reporting efficiency by 30%
- Replicated SAC’s Calculation Views to SQL Views using SAP HANA Studio and SQL Server Management Studio (SSMS) to then be used as data sources for reports and dashboards
- Collaborated with finance reporting team to validate Key Performance Indicators (KPIs) of the dashboards and the reports approved by the Chief Financial Officer (CFO) of the organization
- Translated ABAP code to SAP HANA SQL views to replicate custom T-Codes output that were in the SAP Application Server
- Delivered 30+ business projects that enhanced the reporting procedure of several departments within the organization
Teaching Assistant @ Correlation One (October 2024 - January 2025)
- Assisted & guided learners on how to use Microsoft Excel, Visualizations Tools & Python to complete a Data project
- Provided few hours per week of Office Hours for learners to drop-by and ask their questions
- Submitted weekly write-ups summarizing the week’s accomplishments and challenges
Freelancer Instructor @ Zaka (November 2022 - April 2024)
- Identifying and addressing any learning gaps or challenges faced by students, providing additional resources and support as needed
- Expertly answering participants’ questions on topics including Computer Vision, Time Series Analysis, Algorithms, AI, ML and NLP
- Conducting interactive recap sessions to reinforce key concepts and materials covered in any Zaka Program
Projects
Migration of SAC Financial Dashboard → Microsoft Power BI
Migrated 9 financial dashboards from SAC to Power BI including:
- Accounts Payable (AP)
- Accounts Receivable (AR)
- Balance Sheet
- Detailed P&L
- Executive Summary
- KPI Analysis I
- KPI Analysis II
- KPI Bridges
- Treasury
Automated Report for Supplier Tracking in Power BI
Developed a dynamic, frequently refreshed report covering the entire P2P cycle (PR → PO → GRN → Invoice → BRS). Reduced manual tracking effort by 40% and provided real-time insights to Procurement, AP & Treasury teams.
SQL Source Migration and Refresh Enhancement of Sales Data
Engineered a linked server integration between SAP HANA and Microsoft SQL Server to enable incremental sales data loading. Improved ETL efficiency by 60%, ensuring faster data availability for reporting and decision-making.
SELECT * FROM OPENQUERY(LINKED_SERVER_NAME, 'SELECT * FROM SERVER.SCHEMA.SALES_DATA')
Finance Workspace App in Power BI
Designed and deployed a Finance Workspace App integrating 15+ financial dashboards into a centralized access point this enabled the financial department to use the built reports and dashboards using only one link.
Arabic News Clustering for Factuality Estimation​
Created a NLP project that checks the worthiness of Arabic news and tweets using the Checkworthiness dataset found in GitLab. The dataset is labelled and our task was to find the most suitable model to classify if the text is worth checking or not. The suitable model is then deployed into an interface where the user can have the option of testing the model and check the Checkworthiness meter that is found next to the textbox where the user can insert their news for checking.
To check the source code you can click here
CO2 Emissions Visualizations through PowerBI
Built a dashboard that shows the rate of how much CO2 is being omitted in each country along with each region. Used PowerBI to create this interactive dashboard where you can view the map of countries and regions that have the highest CO2 Emissions. In the presentation we give reasoning of why are CO2 Emissions have increased in certain regions and how critical it is to reduce the emissions to be able to reduce Global Warming that affects many wild life where people are unaware about.
Cyber Bullying Arabic Tweets Detector
Used Python to create an NLP model that detects a safe tweet from a toxic tweet in the Arabic language. The most suitable model for this project was AraBERT which is a transformer that is pre-trained on many Arabic datasets that can then be fine-tuned to our liking. At first we focused on scarping the Arabic tweets that are related to the Qatar World Cup 2022 which was trending at that time, after getting the dataset we labelled them and used AraBERT to test if it can classify the tweets accordingly. At the end we created an interface through StreamLit where we can allow the user to test our model.
To read the full report you can click here
Certifications
- Exploring SAP Datasphere Course Completion by SAP (2025)
- LLMOps in Practice: A Deep Dive by LinkedIn Learning (2025)
- Oracle Cloud Infrastructure Foundations Associate: AI (2025 - 2027)
- Oracle Cloud Infrastructure Generative AI (2024 - 2026)
- Generative AI at SAP (2024)
- Microsoft Azure, Azure AI, Azure Data Fundamentals (2021)
Publications
V. Plevris, H. Abdallah and A. Alnatsheh, “Blockchain and its Potential in the Digitization of Land and Real Estate Property Records”, 2nd International Conference on Civil Infrastructure and Construction (CIC 2023), Qatar University, Doha, Qatar, 5-8 February, 2023.