Hello, I'm Mazen Al-Safty

Bachelor of Computers and Information Technology

Pursuing a Bachelor's Degree in Information Technology with a specialization in Information Technology and Data Management.

GPA : 3.63

Data Consultant

• Delivered substantial growth in digital and e-commerce performance, driving a 705% increase in AI-driven sessions, 623% growth in purchase revenue, 60% growth in new users, 51% in active users, and 28% in overall sessions through data analytics, SEO, and digital performance optimization.
• Supported digital transformation initiatives for clients by translating business requirements into data-driven solutions across analytics, e-commerce, and digital platforms.
• Designed and implemented data pipelines and ETL workflows for collecting, cleaning, transforming, validating, and integrating data from multiple sources.
• Developed data models and database solutions to support analytics, reporting, e-commerce operations, and business intelligence use cases.
• Used SQL and Python for data extraction, transformation, cleaning, analysis, and automation, converting raw data into reliable and actionable insights.
• Leveraged AWS and APIs to build scalable data workflows and integrate data across business and digital platforms.
• Analyzed Google Analytics and e-commerce data to identify customer behavior, traffic patterns, conversion opportunities, and sales trends, supporting data-driven business decisions.
• Analyzed and optimized Google Ads, Google Merchant Center, and SEO performance to improve digital visibility, traffic acquisition, product discoverability, and online sales.
• Applied SEO and search analytics strategies to strengthen clients' visibility across Google and emerging AI-powered search platforms, improving organic discoverability and digital presence.
• Collaborated directly with clients and cross-functional teams to translate complex data and analytics into actionable recommendations and measurable business improvements.

Data Engineer

• Developed strong programming skills in Python for data manipulation, processing, automation, and building data engineering workflows.
• Gained hands-on experience with SQL and NoSQL databases, including data exploration, preparation, transformation, and visualization using Pandas, NumPy, and Matplotlib.
• Studied and applied data warehousing concepts, dimensional modeling, big data fundamentals, HDFS, and Apache Spark to support scalable data processing and ETL/ELT pipelines.
• Built practical experience with ETL/ELT processes, data transformation, pipeline scheduling, and workflow automation for reliable and maintainable data pipelines.
• Worked with AWS cloud services and Docker to understand cloud-based data platforms, containerization, deployment, and infrastructure reliability.
• Implemented CI/CD pipelines and explored automation, monitoring, performance optimization, and reliability practices for data platforms.
• Applied data analytics and visualization techniques to transform datasets into actionable insights and support data-driven decision-making.

Data Scientist

• Completed an intensive Data Science training program with hands-on experience in Data Analysis, Machine Learning, Statistics, and Predictive Modeling using Python and SQL.
• Applied data cleaning, exploratory data analysis (EDA), feature engineering, and implemented supervised and unsupervised models including classification, regression, and clustering, with cross-validation and hyperparameter tuning.
• Gained practical expertise with Pandas, NumPy, Scikit-learn, Beautiful Soup, Requests, and SQL Magic.
• Worked on end-to-end projects such as Donor Propensity Modeling for Nonprofits and Doctor Prescription Prediction for Pharmaceutical Sales Optimization, developing predictive models to drive actionable business insights.
• Built complete machine learning pipelines covering data preprocessing, model training, evaluation, and optimization.
• Strengthened professional skills in communication, freelancing, and business-focused data storytelling, with a data-driven mindset for translating complex datasets into actionable insights.