Mohamed Ashraf
’m a versatile and results-oriented Data Analyst with hands-on experience in the banking sector, business analysis, and freelance data projects. I specialize in translating complex datasets into clear, actionable insights to support business decisions and digital transformation initiatives.
Throughout my career, I’ve worked in full-time, part-time, and freelance roles, utilizing my expertise in Python, SQL, Power BI, and Excel to create impactful dashboards, conduct in-depth statistical analysis, and automate reporting processes. I’ve collaborated with cross-functional teams to improve data transparency, operational efficiency, and strategic decision-making.
@Technical Skills & Tools:
•Programming & Analysis: Python (Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, BeautifulSoup), SQL, IBM Db2
•Business Intelligence: Power BI, Tableau, Cognos
•Data Management: Data cleaning, wrangling, EDA, time-series analysis, forecasting, predictive modeling
•Office & Reporting Tools: Excel (VLOOKUP, Pivot Tables, Conditional Formatting), Word, PowerPoint, Outlook
@Certifications & Applied Knowledge:
•IBM Data Analyst Professional Certificate – End-to-end analytics pipeline: data collection, cleaning, EDA, visualization, dashboarding, and communication with stakeholders. Used tools like Jupyter Notebooks, SQL, Cognos, and key Python libraries.
•Databases and SQL for Data Science (IBM) – Wrote complex queries, joins, and subqueries; performed data extraction and transformation from relational databases.
•Python for Data Science & AI (IBM) – Developed scripts for automation, preprocessing, and basic machine learning workflows.
•Data Analysis with Python (IBM) – Applied statistical methods, regression analysis, and hypothesis testing to real-world datasets.
•SQL for Data Analysis (Udacity) – Built SQL-based reporting pipelines for business questions, focusing on KPIs and operational metrics.
•Power BI by PwC Switzerland – Built client-centric, interactive dashboards to monitor gender equity KPIs and executive decision metrics.
•Whether working independently or within a team, I bring a strong analytical mindset and a business-oriented approach to every project. I’m always eager to grow, innovate, and help organizations leverage data as a strategic asset.