Abolfazl M. Email & Phone Number

Oman

Tehran, Tehran Province, Iran

•Develop a BI platform with Apache Superset, design C-level dashboards driving $1M+ profit in six months, head a six-person team, and improve report generation time by 50% and team productivity by 35%.• Expand and implement data governance frameworks ensuring 99.9% data accuracy, 100% compliance, and zero data breaches, while improving data quality by 50% and shortening errors by 70%.• Forecasting and Data Analysis: Conduct data-driven decision-making with MariaDB, increasing sales by 30% and enhancing strategic decisions by 45%, while boosting team productivity by 30%.

Tehran, Tehran Province, Iran

•Direct advancement of B2B announcement pipelines using Python, SQL, and Airflow, data processing efficiency by 50%, ensuring 99.8% reliability, and scaling to handle 300% more data volume.•Enhance data-driven decisions and operational efficiency by delivering 20+ reports, driving a 35% strategic impact and saving 200 hours quarterly.• Supervise the project and optimization of a reconciliation pipeline, mitigating discrepancies by 85% and saving 200+ man-hours monthly. Achieve 100% compliance with central bank regulations, enhancing data integrity and refining cross-departmental collaboration by 30%.• Devise and execute a high-performance, agile data warehouse at BluBank using Data Vault 2.0, manage with Oracle Data Integrator, reducing data processing times by 60% and enabling rapid adaptability to business changes.

Tehran, Tehran Province, Iran

• Handle MongoDB clusters, enhance ETL/ELT migration to Oracle, and design a Kimball-based data warehouse, enriching query accomplishment by 50% and supporting 3M+ customers.• Apply CDC with Debezium Kafka, manage ETL/ELT migration using Oracle Data Integrator, maximize MongoDB clusters, pattern BNPL and credit scoring systems, and enhance financial data clarity.• Launch BI with Oracle Data Integrator and Oracle Business Intelligence Suite Enterprise Edition, remodel reports managing 4 years of data, create an RFM model boosting retention by 20%, and prepare weekly OKR reports.

Tehran, Tehran Province, Iran

• Establish a recommendation system using collaborative filtering and semantic analysis, improvement book recommendation accuracy by 40%, boosting click-through rates by 30%, and increasing user retention by 20%.• Scheme data models and techniques for a recommendation system, increasing data processing efficiency by 55%, enhancing recommendation accuracy by 30%, and moderating storage costs by 30% using Python.• Structure and examine a reporting pipeline for the recommendation system, upgrading model precision by 35%, abbreviating statement generation time by 40%, and enhancing decision-making by 30% through actionable insights.

Vancouver, British Columbia, Canada

• Blueprint a data crawling system using beautiful soup, collecting 500,000+ app comments for sentiment analysis, refining sentiment classification accuracy by 30% and reducing data retrieval errors by 20%.• Create and evaluat a informing pipeline for the recommendation system, advancing model precision by 25%, minimizing broadcast generation time by 40%, and enhancing decision-making by 30% through actionable insights.• Formulate and advance ETL/ELT processes for managing comments, increasing data processing speed by 50%, cutting latency by 45%, and maintaining 99.9% data accuracy for sentiment analysis.

Master Of Business Administration - Mba, Strategy, A

Master Of Science (Ms), Electrical And Electronics Engineering, Master Thesis : 3.7/4

Activities and Societies: TA : Linear Control