Passionate about transforming raw data into actionable insights, I specialize in uncovering patterns, solving complex problems, and crafting compelling data stories. By leveraging advanced analytical techniques and visualization strategies, I help businesses uncover opportunities, optimize processes, and make data-driven decisions that deliver meaningful impact.
As a data analyst, I specialize in transforming complex datasets into actionable insights that empower businesses to make informed decisions and achieve meaningful outcomes. With expertise in Python, SQL, Power BI, and Tableau, I excel in data cleaning, analysis, and visualization. I’m passionate about uncovering patterns, crafting compelling data stories, and driving growth through data-driven strategies. Whether it’s identifying trends, optimizing processes, or solving complex challenges, I thrive on delivering impactful results. My goal is to help organizations harness the power of data to unlock their full potential and create lasting value.
This project involves cleaning a healthcare dataset using Python by removing duplicates, handling null values, correcting data types, standardizing strings, and addressing outliers. These preprocessing steps ensured the dataset was accurate, consistent, and ready for analysis.
This project involves analyzing supermarket sales data using Power BI to uncover key insights, including the busiest transaction times, top-performing product lines, and the highest-earning branch.
This project analyzes over 50 years of global population data (1970–2022), highlighting trends such as the most populated country and continent, countries with the highest growth and decline rates, and the most densely populated regions.
This project focused on analyzing COVID-19 data using Python, involving data cleaning, visualization, and trend analysis.
This project focuses on analyzing the Titanic dataset using Python. The analysis involves data cleaning, exploratory data analysis and visualization to uncover insights.
