I've been passionate about data for 2 years. I have done some projects to expand my skills in data analysis, data cleaning, data modeling, and exploratory analysis using Python, SQL, and R language. Additionally, I'm proficient in utilizing statistical techniques to uncover insights and support decision-making. I'm detail-oriented and methodical, with a focus on accuracy and data integrity. Lastly, I have strong critical thinking and problem-solving skills, allowing for the effective identification of data trends and patterns. Eager to expand my analytical skills and contribute to data-driven strategies as a junior data analyst.
Industry skills: Software Development, Programming, Web Programming
Skills: Python (Programming Language), Data Analysis, Business Analytics, SQL
Skills: Statistics, Hypothesis Testing, Regression Analysis
Skills: Machine Learning
Skills: Data Visualization, DAX
This is an Exploratory Data Analysis project I made using data from Inside Airbnb. I used techniques like data cleaning, filling in the missing values, and data visualization to show the pricing trends, availability and reviews and analyze trends based on the last review. Lastly, I made a Decision Tree Regression with an accuracy of 96%.
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This is a project made with SQL and Power BI ,analyzing the sales of a pharmacy store on period 2021 to 2024. With SQL, I created some queries to present results such as the most selling product line and which product line generated the highest revenue Moreover, I designed a creative dashboard using Power BI that presents the rise of sales to %. Additionally, the weekly revenue trending and revenue vs. target are metrics represented by charts. Lastly, a matrix that shows the Total Transactions, Total Profit, Profit Margin and Return Rate of a product
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