Luana De Paris

Luana De Paris

Data Scientist | Data Engineer | B.Sc. Physics - Astrophysics

Porto Alegre, Rio Grande do Sul, Brasil
382 seguidores 380 conexões

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Sobre

🔍Data Engineer | Data Science | B.Sc. Astrophysics 🔍

I have been working with data analysis, pipelines and integrations for around 3 years.
Most of my work experience is on consultancy projects, so I have participated in at least 10 different projects, enabling me to learn new tools and new perspectives.

I like to learn to use new platforms and tools and have worked mainly with GCP and its services: Cloud Functions, Cloud Composer, Cloud Scheduler, Cloud Pub/Sub, BigQuery, Compute Engine, Vertex AI. I'm also experienced with Apache Airflow.


💡 I have a degree in Astrophysics, where I engaged in research projects during my undergraduate studies. This included the development of simulations and data analysis using Python libraries like Pandas, Numpy, Scipy, and Matplotlib, that was what set me into the tech world. In addition to my proficiency in these programming tools, I have a solid foundation in science, data science methodologies, statistical analysis, enabling me to implement predictive models and algorithms for insightful data interpretation.

🛠️ My hard skills:
Python, Pandas, Numpy, Scipy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, PyTorch, Spark, SQL, BigQuery, Airflow, data modeling and analysis, and Google Cloud Platform tools as mentioned above.
Furthermore, I have acquired expertise in Shell Scripts, R programming, creation of data pipelines, administration of data warehouses, data lake, data mart and also with Scrum.

🧩 In terms of Soft Skills:
Effective team communication, an eager-to-learn mindset, ability to handle complex datasets, analytical and problem-solving skills.

Atividades

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Experiência

  • Gráfico Xertica.ai

    Data Scientist

    Xertica.ai

    - o momento 2 meses

    Brazil

    I mainly work with large language models (LLMs), with a focus on Gemini. My work involves developing and refining prompts, as well as fine-tuning LLMs to process and analyze a wide array of data types, including textual documents, images, and videos for various clients. Additionally, I leverage Vertex AI to build and deploy models, utilizing its tools for automated hyperparameter tuning, model versioning, and scalable deployment.

  • Gráfico GRUPO SBF

    Data Plataform Engineer

    GRUPO SBF

    - 1 mês

  • Gráfico Saga Solutions

    Analytics/Data Engineer

    Saga Solutions

    - 1 ano 10 meses

    I mainly work with processes of data extraction, loading, and processing from SaaS, e-commerce, and tools such as Google Analytics, Google Ads, Facebook, Search Console, TikTok, Egoi, among others. In these activities, I primarily use SQL (BigQuery), Python (Jupyter Notebook, Pandas, API requests), and GCP (Airflow). Additionally, I also have experience in KPI analysis, data modeling (mainly in Python - Pandas, Numpy, Matplotlib, and Scikit-learn), and building data monitoring dashboards…

    I mainly work with processes of data extraction, loading, and processing from SaaS, e-commerce, and tools such as Google Analytics, Google Ads, Facebook, Search Console, TikTok, Egoi, among others. In these activities, I primarily use SQL (BigQuery), Python (Jupyter Notebook, Pandas, API requests), and GCP (Airflow). Additionally, I also have experience in KPI analysis, data modeling (mainly in Python - Pandas, Numpy, Matplotlib, and Scikit-learn), and building data monitoring dashboards (Looker Studio). I also engage in data science projects, leveraging my skills in statistical analysis and machine learning to derive meaningful insights and predictions from diverse datasets.

  • Gráfico Universidade Federal do Rio Grande do Sul

    Scientific Researcher

    Universidade Federal do Rio Grande do Sul

    - 3 anos 4 meses

    Porto Alegre, Rio Grande do Sul, Brasil

    In my scientific initiation, I worked on modeling and simulating data, applying the Markov Chain Monte Carlo (MCMC) method to fit the spatial distribution profile of ultra-cool dwarfs in the Milky Way. We utilized Shell Scripts, Python (Jupyter notebook), and its libraries such as numpy, scipy, pandas, matplotlib, and emcee. I have collaborated with various research groups, contributing to collective efforts and fostering interdisciplinary approaches. Additionally, I actively participated in…

    In my scientific initiation, I worked on modeling and simulating data, applying the Markov Chain Monte Carlo (MCMC) method to fit the spatial distribution profile of ultra-cool dwarfs in the Milky Way. We utilized Shell Scripts, Python (Jupyter notebook), and its libraries such as numpy, scipy, pandas, matplotlib, and emcee. I have collaborated with various research groups, contributing to collective efforts and fostering interdisciplinary approaches. Additionally, I actively participated in the development of several research articles, showcasing my dedication to advancing scientific knowledge and sharing insights within the academic community.

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