Picture of Maria Clara Soares

Maria Clara Soares

Data Scientist | Machine Learning Engineer

About Me

Hello, my name is Maria Clara Soares. I am a Computer Science undergraduate with a strong focus on Data Science and Machine Learning. My academic background and practical experience have allowed me to develop solid skills in Python, SQL, and predictive modeling. I am passionate about transforming complex datasets into actionable insights and building intelligent systems that contribute to decision-making and innovation. My professional goal is to continue developing advanced technical expertise while applying data-driven solutions to create measurable impact within organizations.

My Projects

Click on the cards to see the repositories on GitHub

Project 6

Work in progress...

Coming soon!

My Skills

Programming Languages • Frameworks • Libraries • Tools • Techniques

Machine Learning

Machine Learning

Supervised & unsupervised models (MLP, SVM, KNN, Random Forest).

Data Preprocessing

Data Preprocessing

Techniques for missing data, outliers, encoding, and feature scaling.

Model Evaluation

Model Evaluation

Classification metrics: Accuracy, F1-Score, Confusion Matrix, ROC Curve.

Python

Python

General-purpose language for data analysis, ML, and automation.

Pandas

Pandas

High-performance data manipulation and tabular analysis.

NumPy

NumPy

Linear algebra, numerical computation, multidimensional arrays.

Scikit-learn

Scikit-learn

ML algorithms, preprocessing utilities, and pipelines.

Matplotlib

Matplotlib

2D plotting for scientific computing and visualization.

Seaborn

Seaborn

Statistical data visualization built on Matplotlib.

TensorFlow

TensorFlow

Deep learning framework for neural network training/deployment.

Automation

Automation

Python scripting for workflow automation and scheduling.

Web Scraping

Web Scraping

Extracting structured data from websites at scale.

File Handling

File Handling

Managing local files and batch processing workflows.

Jupyter

Jupyter

Interactive notebooks for EDA, ML experiments, and docs.

Google Colab

Google Colab

Cloud notebooks with GPU/TPU acceleration.

APIs

APIs

REST integration for external data/services consumption.

JSON

JSON

Lightweight, hierarchical data-interchange format.

CSV

CSV

Structured tabular format for datasets and exchange.

HTML

HTML

Markup language for structuring web content.

CSS

CSS

Styling, responsive layouts, and design systems.

JavaScript

JavaScript

Dynamic logic and interactivity for web apps.

React

React

Component-based frontend library for SPAs.

Node.js

Node.js

JavaScript runtime for backend services and APIs.

MySQL

MySQL

Relational DBMS for structured data management.

SQLite

SQLite

Lightweight embedded relational database engine.

Back4App

Back4App

Backend-as-a-Service for scalable applications.

Java

Java

Object-Oriented Programming and system modeling.

C

C

Low-level programming, memory, and algorithms.

Git & GitHub

Git & GitHub

Version control, branching strategies, collaboration.

Scrum & Kanban

Scrum & Kanban

Agile methodologies for project/workflow management.

Problem Solving

Problem Solving

Analytical reasoning and solution-driven mindset.

Teamwork

Teamwork

Collaboration across multidisciplinary teams.

Communication

Communication

Clear articulation of technical concepts.

Continuous Learning

Continuous Learning

Ongoing professional development in data & AI.

Contact Me

LinkedIn GitHub