Machine Learning Data Analytics

PEDRO HENRIQUE P. DO NASCIMENTO

**************@*****.*** 954-***-**** Richmond, VA

STATISTICIAN & DATA SCIENTIST & ANALYST

Analytically driven and detail-oriented graduate with a bachelor’s degree in Computational Modeling and Data Analytics

(CMDA) with minors in Computer Science, and Mathematics. Proficient in statistical analysis, data manipulation, and visualization techniques. Skilled in utilizing programming languages such as Python and R, along with SQL for data querying. Adept at interpreting complex data sets to extract actionable insights and support strategic decision-making. Strong communication skills with the ability to translate complex data concepts into understandable terms. Passion for continuous learning and professional development with technical proficiency in Python, R, SQL, Tableau, Microsoft Excel, Java, Command Line, Bash Scripting, GIT, MATLAB, and LaTeX/Markdown for technical documents.

● Statistical Analysis

● Data Manipulation

● Data Visualization

● OOP Programming

● Data Management

● Machine Learning

● Statistical Design

● Data Analysis

● Collaboration

Fluent in English and Brazilian-Portuguese, conversational in Spanish. EDUCATION & CERTIFICATIONS

Bachelor of Science in Computational Modeling and Data Analytics A new and innovative Bachelor’s program from the Academy of Data Science that combines Statistics, Mathematics, and Computer Science

Minors in Computer Science, and Mathematics

Virginia Tech Blacksburg, VA 2024

Relevant Courses: Data Analytics w/ Machine Learning (R), Data Visualization (R), Biological Computing (R), Digital Image Processing (MATLAB), Software Engineering (C++), Data Structures & Algorithms (Java), Artificial Intelligence

(Python)

Key Projects:

● Senior Capstone: Database Design at the Psychological Services Center - Led a 3-person team in designing and constructing a database that included collaborating with clients to design innovative solutions that catered towards needs. Facilitated research on improving mental health sciences in Blacksburg using Patient data analysis.

● Scientific Computing, Mathematical Modeling Tools, Data Analytics, and Visualization - Leveraged statistical learning with basic NLP to analyze and categorize 30 patient safety reports regarding COVID-19 medical reports, which helped potential clients meet quality standards. Developed and presented graphics by concisely displaying complex information with proper visual mediums. Sorted and filtered large datasets regarding Economics and conducted data analysis for confusion matrices.

● Machine Learning in R/Python - Studied and implemented the mathematical foundations of Machine Learning algorithms in R/Python with Logistic Regression, Classification, Nearest Neighbor, and Naive Bayes. Cleaned and processed large datasets for conducting analysis and confusion matrices for Rat Genomes in R. Certifications

Business & Data Analytics Science Certified University of Virginia 2023 PROFESSIONAL EXPERIENCE

Mobiup Remote 2023-Present

Software and Data Analyst Intern

Analyzed and managed Data regarding payment services from customers with security issues in mind. Cleaned and managed Data workflow with SQL, Python, and R, translated and presented findings with Tableau dashboards. Leverage additional language skills to conduct business with customers and coworkers in Brazilian-Portuguese, and English. Used SCRUM with team to collaborate efficiently

Virginia Tech TREC Computing Lab Blacksburg, VA 2019-2020 Researcher

Installed and managed a Linux Development environment with TensorFlow throughout research of Machine Learning Computer Vision. Spearheaded the database labeling and compilation effort for model training and testing. Trained machine learning model to properly distinguish corn from weeds in a test data set of three hundred pictures.

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