Data Analyst skilled in SQL, MS Excel, Python, and MS Power BI @abbasnadani
This project involves analyzing global health statistics data sourced from Kaggle. The data was transformed using SQL Server and visualized in Power BI to uncover health trends and support data-driven decision-making.
This project focuses on analyzing ride-sharing data using Power BI, leveraging DAX functions to uncover insights and develop an interactive dashboard for effective data visualization and decision-making.
This project focuses on analyzing customer churn using MySQL to identify key factors behind customer departures and to develop strategies for improving retention through enhanced service and engagement.
This project leverages data analytics to explore the trends, causes, and regional patterns of malaria across Africa. By analyzing historical and demographic data, the study aims to uncover key drivers of malaria prevalence and evaluate the effectiveness of interventions. The insights generated support evidence-based strategies for reducing the disease burden and improving public health outcomes.
This project involves cleaning and analyzing a dataset of laptops using MySQL to uncover key insights about product specifications, pricing trends, and brand distribution. The process includes handling missing values, standardizing data formats, and removing inconsistencies to prepare the dataset for accurate analysis. Through structured queries and visual summaries, we explore factors such as RAM, storage, processor type, and price variation to support data-driven decisions in tech product evaluation and market understanding.
This project involves a comprehensive analysis of Adidas sales data using MS Excel to identify key trends, customer preferences, and performance drivers across products, regions, and retail channels. The goal is to generate actionable insights that will help improve customer satisfaction, tailor marketing strategies, optimize product offerings, and ultimately drive sustainable sales growth.