About
Analytical and rigorous professional transitioning from research to business analysis, leveraging robust data interpretation, process improvement, and cross-functional collaboration skills. Passionate about transforming complex data into concrete insights, Zahra drives strategic decision-making and optimizes operational efficiency within dynamic environments.
Work
Centre for Genomic Regulation (CRG) / Universitat Pompeu Fabra
|Doctoral Researcher – Data Scientist / Functional Analyst (AI & Health)
Spain, Spain
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Summary
Conducted advanced data science and functional analysis, translating complex research needs into actionable insights and predictive models for scientific decision support.
Highlights
Translated complex research requirements into analytical specifications, defining key indicators for project monitoring and success measurement in genomic studies.
Performed advanced statistical analysis and complex data exploration to formulate data-driven recommendations that guided research outcomes.
Designed and validated predictive models to optimize the detection of biological signals, enhancing scientific decision-making capabilities.
Communicated and demystified complex analytical results and insights to multidisciplinary teams, fostering cross-functional understanding and collaboration.
France, France
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Summary
Currently serves as a Data Analyst at EGID, driving data reliability and strategic decision-making through robust analytical solutions.
Highlights
Collected, cleaned, and integrated data from diverse sources (Excel, API, local databases) to ensure high analytical reliability and accuracy for research initiatives.
Designed and automated performance dashboards using Excel and Power BI, enabling real-time monitoring and supporting data-driven decision-making.
Authored functional documentation and presented analytical results to key stakeholders, facilitating strategic direction and process improvements.
Contributed to the continuous improvement of data collection and reporting processes, enhancing operational efficiency and data governance.
Germany, Germany
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Summary
Analyzed business needs and automated data quality control using Python to enhance the reliability of scientific publications.
Highlights
Analyzed business requirements and automated data quality control processes using Python, significantly improving the reliability of scientific publications.
Collaborated with editorial and technical teams to define validation rules and align business needs with technical solutions, ensuring data integrity across publications.
Education
Languages
French
English
Skills
Data Analysis & Management
SQL, Python (pandas, matplotlib), Advanced Excel (Pivot Tables, Formulas, Automations), MySQL, PostgreSQL, Data Collection, Data Cleaning, Data Integration, Statistical Analysis, Data Exploration.
Business Intelligence
Power BI, Tableau, MyReport (in training), Dashboard Creation, KPI Definition, Performance Monitoring.
Business Analysis & Project Management
Requirements Gathering, User Story Writing, Process Improvement, Functional Documentation, Stakeholder Management, Problem-Solving.
Work Methodologies
Agile (Scrum, Kanban), V-Cycle, Cross-functional Collaboration, Inter-team Communication.
Interests
Travel & Culture
Cycling through Europe, Discovering new cultures, Photography.