HOME | Tara Cool

About

My name is Tara Cool

I'm a recent graduate with an MS in Applied Business Analytics from Boston University Metropolitan College. With a passion for leveraging data to drive business insights, I specialize in Python, R, SQL, Tableau, & MS Power BI. Through my coursework & projects, I've developed the ability to think critically about data problems & apply appropriate analytical methods.

I invite you to explore my portfolio, where you'll find projects showcasing my skills in data manipulation, statistical modeling, & data visualization. I'm dedicated to delivering impactful insights & improving business outcomes. Feel free to reach out to me for inquiries or collaboration opportunities. Thank you for visiting!

RESUME

PORTFOLIO

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.