Machine Learning Power Bi

DENISE CARNEIRO

San Francisco, CA 415-***-**** ******.*******@*****.*** www.linkedin.com/in/denise-carneiro-dtsc/ WORK EXPERIENCE

CITY OF STOCKTON Stockton, CA

Data Scientist Intern Feb 2023 – present

Data Visualization: Proficient in creating tables, plots, and dashboards for data visualization using tools such as Tableau and Power BI.

Storytelling: communicating Stockton's progress in implementing its new strategic plan to diverse audiences. INSTITUTO FEDERAL DE GOIAS – BRAZIL Goiania, Brazil Administrative Analyst – Economist Apr 2012 – Jan 2022

Statistical Analysis: Prepared descriptive, inferential, and predictive statistics reports for various departments and 14 campuses of the institute. Utilized statistical methodologies such as Time Series, Logarithmic Regression, Decision Tree, and Principal Component Analysis (PCA).

Data Analysis: Conducted a survey to consolidate educational data and created documents to support public education actions. Utilized methodologies such as Machine Learning and Time Series. Tools: Python (pandas, numpy, tensorflow).

Big Data processing: worked with an educational institution's SQL Database, which contained data on over 10,000 students and around 1,000 employees.

Reporting: Communicating data findings in a non-technical language, utilizing tools such as Microsoft Word and PowerPoint. UNIVERSIDADE FEDERAL DE GOIAS – BRAZIL Goiania, Brazil Junior Researcher Internship (on-campus job) Aug 2009 - Jul 2010

Data Collection: Conducted interviews with entrepreneurs to gather data.

Data Processing: Organized and composed a dataset on imports, and performed data cleaning.

Data Analysis: Worked with economic Time Series and multiple regression to analyze data.

Market Analysis: Published a book chapter on international trade (imports) in the state of Goias, Brazil, demonstrating a keen ability to analyze market trends and communicate findings effectively. EDUCATION

University of the Pacific Master of Science in Data Science May 2023 San Francisco – CA.

Federal University of Goias Master of Science in Politics 2015 Creation of a regression model to evaluate the relationship of democracy indexes and private property indexes in Latin American countries.

Master’s Thesis: https://repositorio.bc.ufg.br/tede/handle/tede/6131 Federal University of Goias Post-Baccalaureate Certificate in Finances and Investment 2012 Monograph on Credit Unions.

Pontifical Catholic University of Goias Bachelor’s in Computer Science 2011 Emphasis on Software Quality.

Federal University of Goias Bachelor’s in Economics 2010 PROJECTS

Stockton Strategic Plan Storytelling – City of Stockton Feb 2023 - present The Stockton Strategic Plan Storytelling project work with the city of Stockton, CA, and its municipal data to quantitatively tell the story of how Stockton is making progress on implementing its new strategic plan. Projects in Python Aug 2021 - present

The objective of this project was to leverage data mining techniques to extract insights from a large dataset using Python. The project involved analyzing and preprocessing data, performing feature selection and extraction, and building predictive models using machine learning algorithms.

https://github.com/DeniseCarneiro/Python

Projects in R Aug 2021 - present

These projects involved a range of techniques, including regression analysis, data manipulation, and visualization working with R as a statistical programming language.

https://github.com/DeniseCarneiro/R_projects

TECHNICAL SKILLS

Programming: Python, R, SQL, MySQL, PostgreSQL, MongoDB, C, Java, Assembly. Software: MS Office, SPSS, PSPP, Gretl, Tableau, Power BI, AWS. Modeling Proficiency: Linear Regression, Logistic Regression, Time Series, KNN / K-means Clustering, Naïve Bayes, Machine Learning.

PERSONAL SKILLS

• Collaborative team player with a strong focus on achieving shared objectives and contributing to a positive team dynamic.

• Problem solver.

• Organized and able to manage multiple priorities simultaneously while maintaining a high level of accuracy.

Contact this candidate