Aya Salah

A highly skilled Data Analyst & Machine Learning Engineer with extensive experience in data mining, preprocessing, and database management. Expert at developing and implementing predictive models and statistical algorithms to forecast organizational needs and drive efficiency. Proficient in transforming complex datasets into data-driven insights using advanced visualization tools to optimize business processes and decision-making.

Data analyst and machine learning engineer at Interact Technology Solutions (2025-11 – Present)

Data Cleaning, Feature Engineering & Predictive Modeling

• Data Insights: Translated complex datasets into actionable insights and BI dashboards for stakeholders.
• Feature Engineering: Built automated data pipelines and optimized features to enhance model accuracy.
• Platform Optimization: Improved recommendation algorithms for the Nawah platform to support startups.
• Cross-functional Support: Collaborated with consultants to align technical ML solutions with business goals.
• Predictive Modeling: Developed ML models (Regression & Classification) to forecast business trends and customer behavior.

Data analyst at Moltaqa Software Company (2025-04 – 2025-11)

Internal Operations Data Automation and Integration Project using Python, Google Sheets, Apps Script, APIs, Data Pipelines

• Built a web scraper to extract new brand data from the Suadai website, integrating it into the company's internal database for business insights.
• Designed and implemented end-to-end data pipelines and lifecycle flow connecting sales, telesales, account management, and technical teams.
• Automated cross-department workflows using Google Sheets and Apps Script, providing real-time dashboards for employees and managers.
• Developed an HR management system to track attendance, vacations, and automate payroll using fingerprint device data.

Data analyst at Grand Community Company (2023-08 – 2025-04)

• Automated data collection by building multi-platform scrapers and ETL pipelines to integrate social media, cloud, and internal datasets.
• Leveraged Machine Learning to perform audience clustering and text analysis, turning unstructured data into trend insights.
• Led data cleaning and optimization efforts to resolve complex outliers and schema mismatches, ensuring high-quality datasets for predictive modeling.
• Designed scalable database schemas and structured raw data to streamline reporting and improve the accuracy of business recommendations.

Data analyst and machine learning Engineer at Vezeeta Cairo (2022-08 – 2023-07)

Product Data Integration, Analysis, and Trend Prediction Project using Python, Pandas, scikit-learn, BeautifulSoup

• Collected and consolidated data from multiple sources including websites and local files into a unified, standardized structure.
• Processed and cleaned heterogeneous datasets to ensure consistency and compatibility for analysis.
• Performed data analysis and product classification to extract actionable insights and identify performance patterns.
• Built a predictive model to forecast product trends for the upcoming year, supporting data-driven business decisions.

Bachelor's in Medical Informatics – Mansoura University (2018-09 – 2022-07)