I am a passionate Data Analyst/Business Analyst with expertise in leveraging data to drive strategic decision-making. My skill set includes data analysis, visualization, and machine learning, using tools like Python, SQL, and Power BI. I have a strong foundation in statistical analysis, time series analysis, and data cleaning, along with a keen eye for detail and a knack for problem-solving.
- Programming Languages: Python (Pandas, NumPy, SciPy, Matplotlib, Seaborn), R (ggplot2, tidyr, dplyr, tidyquant)
- Databases: SQL (SQL Server, MySQL, PostgreSQL), SQLite
- Data Visualization: Microsoft Power BI, Tableau, Plotly, Matplotlib, Seaborn
- Tools: Excel (VLOOKUP, Pivot Tables, Conditional Formatting)
- Other Skills: Data Cleaning, Statistical Analysis, Machine Learning, Time Series Analysis
- Walmart Sales Analysis: Cleaned and preprocessed sales data, conducted descriptive statistics, and created visualizations to analyze sales trends and performance across stores.
- Steam Games May 2024 Analysis: Analyzed game metrics, cleaned data, and performed sentiment analysis on user reviews.
- Top 1000 Twitch Streamers Analysis: Parsed data, visualized metrics like follower count and viewership, and generated actionable insights.
- Bike Ride Share Report: Visualized ride distributions and durations, mapped high-demand areas, and analyzed ride data across time periods.
- Google Data Analytics Certificate
- Data Analysis and Visualization with Power BI - Microsoft
- Data Analysis and Visualization - The American University in Cairo (AUC)
- Advanced Python for Data Science - AUC
- Databases and SQL for Data Science with Python - IBM
- Bachelor of Arts - Menoufia University, Egypt
- Email: ziadtantwe@gmail.com
- LinkedIn: linkedin.com/in/ziad-eltantawe-314619297
- Kaggle: kaggle.com/ziadeltantwe