Data Cleaning in SQL
This project demonstrates extensive SQL data cleaning on a Nashville housing dataset, preparing it for accurate and efficient analysis or reporting.
Data Analysis Portfolio
Hello! I'm an aspiring data analyst with a Master's Degree in Mathematics with a concentration in Statistics, passionate about transforming raw data into actionable insights to drive business success. My academic foundation has equipped me with a deep understanding of statistical methods, data modeling techniques, and the ability to think critically about complex problems.
I am highly proficient in various data analysis tools, including Python, SQL, and popular libraries such as Pandas, NumPy, and scikit-learn. With experience in data visualization tools like Tableau, I can create impactful visualizations to communicate results effectively.
Projects
Below are a variety of projects I have created that demonstrate different aspects of the data analysis process, focusing on key steps such as data cleaning, exploratory analysis, model selection and evaluation and visualization.
Full SQL and Tableau Sales Project
This project uses a real-world dataset in order to provide valuable sales insights and increase profits. Includes data cleaning in SQL and building an interactive dashboard in Tableau.
Python Housing Market Project
For this project, I delve into an in-depth analysis of housing market data to gain valuable insights and trends. Utilizing advanced data analysis techniques, I create a highly accurate and reliable predictive model for home prices in King County, USA.
World Happiness Report using SQL and Tableau
The goal for this project is to analyze and report interesting findings for happiness scores and contributing variables for countries from 2005-2022. SQL is used to analyze data and then findings are presented in Tableau.
Tableau HR Dashboard
The goal of this project is to create a clean, self-explanatory, and interactive dashboard in Tableau for the HR team of Atlas Labs in order to dive deeper into what factors impact attrition. This will help the organization determine what actions they will need to take to retain more employees.
Car Price Regression Analysis
This project consists of multiple Python files for each step of the data analysis process starting with data wrangling all the way to model development in order to predict car sale prices.