About
Data Analyst with experience in Python, SQL, Power BI, and Excel, delivering reporting, dashboarding, and data analysis to support business decision-making. Skilled in extracting, cleaning, and interpreting complex datasets, building interactive reports, and presenting insights clearly to stakeholders. Experienced in developing reporting solutions, automating data workflows, and producing management information across healthcare, business, and customer data. Keen to apply analytical and visualisation expertise to financial reporting, planning, and performance monitoring within a higher education environment.
Skills & Expertise (31)
Work Experience
Data Analyst Intern
Beauroi
Apr 2025 - Sep 2025
Analysed 100K+ healthcare records using HPCC Systems to support compliance and reporting processes. Built and optimised ETL pipelines using Databricks and Spark for scalable data processing. Developed predictive models in Python and SQL to identify trends and patterns in healthcare data. Developed Power BI dashboards to analyse campaign performance and support marketing decision-making. Worked in line with healthcare data privacy and compliance standards.
Data Analyst Intern
Trainity
Sep 2024 - Nov 2024
Performed data cleaning and exploratory data analysis on datasets up to 250K records using Python and SQL. Analysed datasets to identify trends and support performance reporting, KPI tracking, and planning activities. Built 5+ interactive dashboards in Tableau and Power BI to visualise business performance metrics. Analysed multiple datasets to identify customer engagement and trends contributing to strategic planning and performance evaluation. Applied statistical techniques to generate actionable insights for business case scenarios. Produced ad hoc analyses and visual reports to support strategic and operational decision-making.
Data Science Intern
Lets Grow More
Aug 2024 - Sep 2024
Completed end-to-end data science projects including preprocessing, modelling, and evaluation. Applied machine learning techniques for predictive analysis across business datasets. Developed visualisations to communicate key findings to stakeholders. Supported data-driven discussions through analytical reporting.
Research Attachment Programme
Universiti Teknologi Petronas
Jan 2024 - Mar 2024
Developed a machine learning-based sand pipeline monitoring system. Implemented anomaly detection models achieving approximately 80% detection accuracy. Contributed to research on predictive pipeline reliability for academic publication.
Education
Master of Science in Big Data and Business Intelligence - University of Greenwich
2025 - 2026 ยท Afghanistan
Bachelor of Engineering in Electronics and Communication Engineering - Kongu Engineering College
2020 - 2024 ยท Afghanistan
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Skills (31)
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