Abdelrahman Abushady

Computer Engineer with a passion for data analysis and visualization. Skilled in Python, Power BI, SQL, and Tableau, with experience working as an instructor in data science. Known for transforming complex data into meaningful insights through storytelling and visuals, I bring both technical expertise and a creative approach to data analysis. Dedicated to uncovering trends and providing actionable insights that drive decision-making and enhance business performance

Skills

Highly skilled in Data Analysis, data visualization, and technical proficiency in Python, SQL, Tableau, and Excel, adept at deriving insights, solving complex challenges, and collaborating within cross-functional teams.

• Database Management
• Data Visualization
• Creating impactful visualizations
• Data Manipulation & Analysis
• Python, SQL, Tableau, Excel
• Contributing effectively within teams

A Few Accomplishments

Demonstrated a proven track record of success through hands-on experiences, leveraging skills in data science, effective communication, and a passion for problem-solving to drive transformative results.

Online Retail Data Analysis

Leveraged SQL to clean and preprocess a large dataset from an online retail store, ensuring data quality and consistency. Conducted exploratory data analysis (EDA) to uncover key sales patterns, customer behavior, and seasonal trends. Analyzed product categories, pricing strategies, and customer demographics to understand factors influencing purchasing decisions. Delivered actionable insights that identified top-performing products, customer preferences, and optimal sales periods. The analysis led to improved inventory management strategies, including better stock forecasting and targeted promotions during peak seasons. Key findings contributed to enhanced decision-making for sales and marketing teams, boosting overall business efficiency.

Amazon Product Web Scraper

Built a Python-based web scraper utilizing libraries such as BeautifulSoup and Selenium to collect detailed product data from Amazon, including prices, customer ratings, reviews, and product specifications. The scraper was designed to handle dynamic web pages and collect large volumes of data efficiently, ensuring accurate and up-to-date information. By automating the data extraction process, this tool enabled streamlined collection of e-commerce data, facilitating competitive pricing analysis, product trend tracking, and market research. The gathered insights helped in monitoring competitor strategies and identifying emerging trends in product demand.

Airbnb Investment Analysis Dashboard

Created an interactive Tableau dashboard using a comprehensive Airbnb dataset to analyze property performance and identify the most profitable investment opportunities. By examining factors such as location, price per night, occupancy rates, and guest reviews, the dashboard provided insights into high-revenue properties and trends in the short-term rental market. The visualizations allowed users to easily compare property performance across different cities, uncovering patterns that inform strategic decisions for buying and renting properties. This tool helped guide investment strategies and optimize returns in the competitive online rental market.

Contact Me

For any inquiries, opportunities, or collaborations, feel free to contact me. I'm excited to connect and explore possibilities together!.