Maryam Abyaneh
Sydney,Australia
Summary
Results-driven Data Analyst and QA Engineer with expertise at samurAIBI in designing automated ETL pipelines and developing interactive Power BI dashboards. Proficient in Python and SQL, I excel in delivering actionable insights and optimizing data processes. A collaborative team player, I thrive in Agile environments, enhancing project efficiency and accuracy.
Overview
2
2
years of professional experience
Work History
Data Analyst / QA Engineer
samurAIBI
Sydney, Australia
05.2025 - Current
- Designed and implemented comprehensive test plans for validating software functionality, accuracy, and performance.
- Conducted dataset testing to identify inconsistencies, missing values, and structural issues, ensuring reproducible results.
- Built automated ETL pipelines supporting scalable extraction, transformation, and loading of complex datasets.
- Developed interactive Power BI dashboards for real-time reporting and stakeholder decision-making.
- Collaborated with cross-functional teams in Agile/Scrum environments to resolve data issues and optimise pipelines.
Data Analyst (Casual)
Infinite Sensin
Sydney, Australia
10.2023 - Current
- Created data visualisations using Power BI to enhance project and portfolio management.
- Automated timesheet processes using Power Automate, increasing efficiency and accuracy.
- Managed and optimised SQL databases for secure, reliable data management.
- Conducted advanced data analysis using Python and R, delivering actionable business insights.
- Led project scheduling and resource optimisation initiatives.
Education
Diploma - Data Infrastructure Engineering
TAFE Sydney
Sydney01.2024
Skills
- Data Science & Machine Learning: GLM regression
- Clustering NLPLSTM-Random Forest-XGBoostPCA-SVM-
- Programming & Tools: Python (Pandas
- Data visualization
- SQL management
- Python programming
- ETL pipeline development
- Advanced analytics
- Database management
- Agile methodologies
- Project scheduling
Websites
Projects
TAFE Sydney, 06/01/20, 06/01/24, Developed credit card fraud detection system (LGBM) – achieved 98.5% accuracy and 0.998 ROC-AUC., Created CNN model for speech emotion recognition (96.03% accuracy) using TensorFlow/Keras., Built music recommender system with PySpark, integrating Lastfm/Spotify APIs., Predicted NYC taxi ride durations using XGBoost and Pandas., Designed cloud-based soil data collection system with AWS Lambda & IoT devices., Developed Azure cloud solution for social research organisation., Created hospital database in SQL/MySQL.
References
Available upon request.
Timeline
Data Analyst / QA Engineer
samurAIBI
05.2025 - Current
Data Analyst (Casual)
Infinite Sensin
10.2023 - Current
Diploma - Data Infrastructure Engineering
TAFE Sydney
Similar Profiles
Luke BilobrkLuke Bilobrk
Client Advisor at PradaClient Advisor at Prada
Ralph FontanosRalph Fontanos
Kitchen Hand at Craigcare GroupKitchen Hand at Craigcare Group
James RussoJames Russo
Student at Full TimeStudent at Full Time
WIN VARARUTSUPAGULWIN VARARUTSUPAGUL
Business Development Manager at Peninsula Group – Bright HRBusiness Development Manager at Peninsula Group – Bright HR
Revathy BaskarRevathy Baskar
Azure Data Analyst at Capgemini Technology ServicesAzure Data Analyst at Capgemini Technology Services