HOME | Tara Cool

Welcome to my Data Analytics Portfolio!

I’m Tara Cool, a Data Analyst with an M.S. in Applied Business Analytics from Boston University. I specialize in using data to uncover insights, support decision-making, and solve business problems.

This portfolio showcases a mix of projects across data analysis, machine learning, Python, R, and SQL. My work includes end-to-end analytics projects, from data cleaning and exploration to modeling, visualization, and business recommendations. I also include hands-on coding projects focused on SQL querying, data transformation, and Python-based analysis and automation.

Core Skills

Programming: Python, R, SQL
Data Visualization: Tableau, Power BI, Excel
Analytics and Methods: Predictive Modeling, Machine Learning, Statistical Analysis, Business Intelligence, Data Cleaning, Data Exploration, Dashboard Development

Projects in this portfolio focus on real-world applications such as market analysis, customer behavior, pricing strategy, and operational performance. Each project is designed to demonstrate both technical skills and the ability to translate data into clear, actionable insights.

I am currently seeking opportunities in data analytics, business intelligence, or related roles where I can contribute to data-driven decision-making and continue developing my skills.

Areas of Interest

Experience the multifaceted world of data through my portfolio. Each area of interest reflects my expertise in a critical aspect of data science and analytics.

Data Preparation + Wrangling

Specializing in extracting, cleaning, & transforming raw data into a usable format. Employing techniques to handle missing values, outliers, & inconsistencies to ensure data reliability & readiness for analysis.

Data Manipulation

Proficiently manipulating data using programming languages like Python & R, leveraging libraries and functions to filter, sort, merge, & reshape datasets. Applying advanced data manipulation techniques to effectively transform & organize data for extracting meaningful insights.

Data Analysis

Applying statistical methods & exploratory data analysis techniques to uncover patterns, trends, & relationships within datasets. Utilizing statistical tests, hypothesis testing, as well as predictive & prescriptive analytical methods to gain valuable insights & drive data-driven decision-making.

Data Visualization + Dashboards

Crafting visually intuitive, appealing, & interactive data representations using tools like Tableau & Power BI, as well as Python & R (e.g., Matplotlib & Seaborn, ggplot2) libraries to facilitate data comprehension.

Advanced Data Modeling + Machine Learning

Developing & implementing advanced data models & machine learning models, utilizing algorithms such as Linear Regression, Logistic Regression, Naive Bayes, Decision Trees, Random Forest Algorithm, k-Nearest Neighbor (KNN), & k-Means Clustering for problem-solving & prediction.

Database Development + Management

Designing, implementing, & optimizing databases using relational database management systems & SQL/ANSI-SQL to ensure data integrity & accessibility. Showcasing skills in data modeling, indexing, querying, & optimizing performance.