Azzam Alnatsheh
Senior IT System Administrator @ Baladna Food Industries | Teaching Assistant @ Correlation One | Data Scientist | Python | SQL | Excel | Power BI | DAX | M-Language | SAC | SAP ERP | SSMS | SSIS
Data Scientist
Passionate and detail-oriented professional with a strong background in Artificial Intelligence (AI) and Data Science. Skilled in database querying, data cleaning, machine learning (ML) and creating impactful visualizations. Committed to continuous learning and growth in the field of Data Science. Excellent communication and interpersonal abilities, fostering effective collaboration with colleagues and clients.
Technical Skills: Python, SQL, Excel, Power BI, DAX, M-Language
Education
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B.S., Computer Engineering Qatar Univeristy (May 2023) -
AI Certification, Data Science Specialization Zaka (November 2022)
Work Experience
Senior IT System Adminstrator @ Baladna (October 2023 - Present)
- Maintaining a SQL Server to be the staging storage area for the data coming from SAP and making it the source that is pulled from by Power BI
- Migrating SAP Analytics Cloud (SAC) Finance Dashboard to Power BI by replicating the same logic applied in the SAC HANA Database Calculation Views
- Working closely with the business to better understand the logic and meaning of each replicated KPIs for the Finance Dashboards
- Presenting the finalized Finance Dashboards to the Chief Financial Officer (CFO) for his approval with the presence of the relevant business
Teaching Assistant @ Correlation One (October 2024 - Present)
- Assisting & guiding learners on how to use Microsoft Excel, Visualizations Tools & Python to complete a Data project
- Participating in all live lectures, providing helpful and fast responses via Slack
- Providing few hours per week of Office Hours for learners to drop-by and ask their questions
- Hosting review sessions or other support mechanisms to ensure the progress and satisfaction of learners
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
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
- Oracle Cloud Infrastruction Generative AI 2024
- Generative AI at SAP 2024
- Oracle Data Management Foundations 2023
- Oracle Cloud Infrastructure 2023
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.