Hossam Hallousa

Proficient data analyst with a track record of effectively leveraging various data analysis tools to uncover meaningful insights, translate stakeholder needs into actionable project strategies, and solve intricate administrative challenges. Known for exceptional storytelling aptitude, an enthusiastic embrace of emerging technologies and tools, keen attention to detail, and a collaborative team-oriented approach to problem-solving.

Data Analyst 01/2023 to 12/2023

Abjak – UK

• Participated in requirements meetings and data mapping sessions to understand business needs.
• Conducted data collection, validated precise input data, and ensured data cleansing for seamless integration.
• Analysed customers' needs, preferences, purchasing behaviors, feedback, and market trends.
• Utilized SQL to query databases and implemented effective data management strategies.
• Designed dashboards to enhance insights, interpretations, and predictions, thereby contributing to improved forecasting.
• Generated customized reports in response to specific requests, delivering clear and informative data insights, along with actionable recommendations measurable KPIs, and success metrics to stakeholders.
• Coordinated cross-functional teams in executing data input, extraction, and analysis, implementing streamlined workflows for automated Power BI and Databricks input.

Liverpool Hope University, United Kingdom, 2020-2021

Master of Science in Data Science.

Grade: Distinction

Thesis’s title: Predicting Major London Stock Exchange Indices Using Deep Neural Networks