Daniel Lima
Summary
Highly skilled in programming languages including C, C++, Python, Go, Mathematica, Matlab, LaTeX, and SQL, with expertise in parallel computing using CUDA C/C++ and OpenMP. Proficient in frameworks such as Keras, TensorFlow, and Scikit-Learn, with a strong focus on GPU CUDA C/C++ algorithm development and optimisation. Adept at learning new languages, libraries, and design patterns to enhance technical capabilities. Career goals include leveraging advanced computational techniques to drive innovation in software development and data analysis.
Driven and analytical with solid foundation in data interpretation and problem-solving, bringing strong skills in technical analysis and critical thinking. Proven ability to collaborate within multidisciplinary teams and communicate complex information clearly. Ready to leverage these strengths to contribute meaningfully in [Desired Position] role.
Overview
4
4
years of professional experience
12
12
years of post-secondary education
1
1
Certification
Work history
Geophysicist, Data Management
Petrobras
2024.04 - 2025.12
- Developed Python-based automation for geoscientific data certification, resulting in cost savings exceeding $20 million.
Nuclear Physicist Operator
Eletronuclear
2023.09 - 2024.04
- Performed routine parameters’ measurements of the nuclear reactors Angra I and Angra II. Inspected the movements of nuclear fuels, their mapping, accompanied and supported the international safe-guards.
Data Engineer/Data Scientist/Developer
Caleta Gaming
2023.01 - 2023.08
- Created nested PostgreSQL queries for direct use in Tableau software, substituting queries made in Django framework (Python). Developed queries in Pandas, enabling faster data pipeline. Developed daily routines of Web scraping gaming data from main clients (casinos) with Selenium and Beautifulsoup frameworks. Structured new relational tables correlating user nationality from multiple data tables. Applied regression models to data, providing data driven decisions on what game themes to choose and on which business strategies to follow.
Machine Learning Engineer Freelancer
LTrace Geophysical Solutions
2022.10 - 2022.12
- Implemented and trained a CNN model for segmentation of geological thin section, aiming for pores semantic and instance segmentation. The StarDist model is an already known model in the scientific literature and was selected as an appropriate candidate to be a segmentation algorithm. The CNN was coded in Tensorflow 2 framework.
Data Scientist Intern
Meantrix
2022.01 - 2022.10
- Developed R functions using the data.table package and test functions for data analysis of the Brazilian health system, SUS.
- Coded and reviewed R packages in GitHub workflow.
Education
PhD - Theoretical Physics
Universidade Federal de Santa Catarina
2019.01 - 2025.01
Master in Physics - undefined
Universidade Federal de Santa Catarina
2017.01 - 2019.01
Bachelor in Physics - undefined
Universidade de São Paulo
2008.01 - 2012.01
Skills
- Programming languages: C, C, Python, Go, Mathematica, Matlab, LaTeX, SQL
- Parallel computing: CUDA C/C (the main project of my PhD is based on CUDA C/C code) and OpenMP
- Frameworks: Keras, TensorFlow, Scikit-Learn
- Other: GPU CUDA C/C algorithms tinkering, to learn new languages, new libraries, and design patterns
Certification
- 2020 IBM Data Science. Capstone Project: Predicting the car accident severity of Seattle (99.75/100.00)
- 2021 Deep Learning (99.56/100.00)
Languages
English, fluent.
German, intermediary.
Portuguese, mother tongue.
Peer-Reviewed Journal Articles
- Lima, D., Grossklags, M., Zampronio, V., Cinti, F., & Mendoza-Coto, A. (2025). Supersolid dipolar phases in planar geometry: Effects of tilted polarization. Physical Review A, 111 (6), 063311. Link.
- Grossklags, M., Lima, D., Zampronio, V., Cinti, F., Mendoza-Coto, A. (2025). Engineering interaction potentials for stabilizing quantum quasicrystal phases. arXiv preprint. arXiv:2503.15359. Link
Scientific presentations, organized events, and review service
2018 XIV International Workshop on Hadron Physics, Poster, Brazil
Scholarships, fellowships and awards
- 2019-2023 PhD Scholarship, CAPES
- 2017-2019 Master Scholarship, CAPES
- 2009-2010 Scientific initiation Scholarship, FAPESP
Research, supervision and teaching experience
- 2019-2021 Teaching internship - Universidade Federal de Santa Catarina
- Supervisor: Prof. Marcelo Henrique Romano Tragtenberg
- I had to learn teaching techniques and then apply them when assisting bachelor students in Physics and Mathematics vacation courses
- 2019-2021 Tutorials in Mathematics and Physics - Universidade Federal de Santa Catarina
- I assisted Engineering and Physics bachelors students of the 1st and 3rd year courses in Calculus and Physics
- 2017-2018 Tutorials in Physics, Universidade Federal de Santa Catarina
- I assisted students of a 4th year course in Introduction to Particle Physics with Prof. Débora Peres Menezes
- 2009-2010 Scientific initiation, Universidade de São Paulo
- Supervisor: Prof. Evandro Raimundo da Silva
Timeline
Geophysicist, Data Management
Petrobras
2024.04 - 2025.12
Nuclear Physicist Operator
Eletronuclear
2023.09 - 2024.04
Data Engineer/Data Scientist/Developer
Caleta Gaming
2023.01 - 2023.08
Machine Learning Engineer Freelancer
LTrace Geophysical Solutions
2022.10 - 2022.12
Data Scientist Intern
Meantrix
2022.01 - 2022.10
PhD - Theoretical Physics
Universidade Federal de Santa Catarina
2019.01 - 2025.01
Master in Physics - undefined
Universidade Federal de Santa Catarina
2017.01 - 2019.01
Bachelor in Physics - undefined
Universidade de São Paulo
2008.01 - 2012.01