Open to opportunities

Amanda Silva de Araujo

@amandasilvadearaujo

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PhD student in Astrophysics with expertise in data science.

Brazil

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What I'm looking for

I am looking for a collaborative environment that values innovation and offers opportunities for professional growth in data science and machine learning.

I am a PhD student in Astrophysics with over 5 years of experience in spectroscopy, data analysis, and time series processing. My work focuses on applying data science and machine learning techniques to large astronomical datasets, emphasizing feature engineering, supervised learning, and exploratory data analysis.

Currently, I am transitioning to industry and seeking roles in data science, machine learning, and analytics. I have developed a complete ML pipeline for predicting store sales and automated tools for analyzing astronomical spectra. My research projects have involved characterizing cataclysmic variables and studying quantum systems, showcasing my ability to tackle complex problems with innovative solutions.

Experience

Work history, roles, and key accomplishments

Current

PhD Student

Current

Federal University of Sergipe

Oct 2022 - Present (2 years 7 months)

PhD student in Astrophysics focusing on spectroscopy, data analysis, and time series processing. Applying data science and machine learning techniques to large astronomical datasets, with an emphasis on feature engineering and supervised learning.

Python SQL Specutils NumPy scikit learn TensorFlow Keras

Data Scientist Intern

Rossmann

Jan 2024 - Jan 2024 (0 months)

Developed a complete ML pipeline using XGBoost to predict store sales, including feature engineering, time-series cross-validation, and visualization.

XGBoost Time Series Python

MSc Student

National Observatory

Feb 2020 - Jan 2022 (1 year 11 months)

Completed a Master's degree in Astronomy, focusing on the spectroscopic study of magnetic and non-magnetic white dwarfs, utilizing SDSS and LAMOST spectra data.

Python LAMOST

Research Assistant

Federal University of Sergipe

Jan 2020 - Jan 2022 (2 years)

Conducted research on various astrophysical phenomena, including cataclysmic variables and quantum systems, utilizing advanced data analysis and machine learning techniques.

Data Analysis Machine Learning Quantum Python

Education

Degrees, certifications, and relevant coursework

Federal University of Sergipe

Doctor of Philosophy, Astrophysics

2022 -

Ph.D. project focused on exploring the population of magnetic and non-magnetic white dwarf binaries through X-ray and optical data (spectroscopy and photometry).