Hello, I'm Attanasia Garuso
I'm a
Welcome to my personal website where I showcase my work and skills.
Welcome to my personal website where I showcase my work and skills.
Attanasia Garuso is a Tech Enthusiast and Problem Solver, passionate leveraging technology to create impactful solutions across finance, analytics and software development.
With strong analytical thinking, programming, and data-driven problem-solving skills, I specialize in building intelligent systems, explorating innovative tools, and delivering meaningful insights that bridge technology and business.
Outside of work,l enjoy exploring new technologies, working on personal projects, and finding creative ways to learn and grow in the tech space.
B.S in Computer Science, Rowan University
M.S in Computer Science(In Progress), Rowan University
East Coast, United States of America
English, Shona
Python
R
JavaScript
Java
TensorFlow
PyTorch
Scikit-learn
NumPy
Pandas
Seaborn
Matplotlib
Git
Docker
Jupyter
VS Code
Cursor
Feel free to email me for any questions or opportunities!
garusoattanasia@gmail.com
East Coast, United States of America
# Machine Learning Pipeline with Scikit-learn
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import accuracy_score
# Load and prepare data
X, y = load_data()
X_train, X_test, y_train, y_test = train_test_split(
X, y, test_size=0.25, random_state=42
)
# Train model
model = RandomForestClassifier(n_estimators=100)
model.fit(X_train, y_train)
# Evaluate
y_pred = model.predict(X_test)
accuracy = accuracy_score(y_test, y_pred)
print(f"Model accuracy: {accuracy:.2f}")