Emilia López
Software QA Tester and Data Analytics
I'm a QA Tester skilled in both data analysis and software testing. I excel at ensuring software quality through rigorous testing methods while also leveraging data to create insightful dashboards for informed decision-making.
My philosophy: I focus on simplifying real-world business questions through clear and effective solutions. I prioritize simplicity over unnecessary embellishments, delivering meaningful data visualization solutions.
This project involves conducting a comprehensive analysis using machine learning techniques to predict primary energy consumption per person.The workflow encompasses data cleaning, wrangling, exploratory data analysis, K-Means clustering, and modeling with techniques like Random Forest Regressor, Linear Regression, and KNN Regression.
Data analyst project optimizing marketing campaigns: Customer segmentation, predictive modeling, and insights for maximizing profitability based on customer behavior and campaign performance. Enhanced decision-making for targeted marketing strategies.
Predicting player market values to assist clubs in informed signings. Workflow encompassed data cleaning, wrangling, business case analysis, EDA, and predictive modeling.
Here are some code samples from my learning journey using Python and SQL. Practice is key to becoming a better analyst.
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