Hello everyone, and welcome to my portfolio. Feel free to navigate through it. Here, I’ll show you how I can generate highly-valued solutions using data for multiple businesses.
Furthermore, you will find a few things about my educational background, professional experiences, and work tools. For those interested in physics and/or computational modelling, I'm also showing here some side projects I've recently worked on.
I hope you enjoy it!
If you want to be in touch, feel free to use the links at the bottom of the page.
My name is Pedro Grosman. I'm a computational physics graduate from Universidade Federal Fluminense (UFF - Brazil) currently working as a freelance business analyst and also as a PhD candidate.
In my academic career, my main areas of interest include i) agent-based modelling applied to infectious disease outbreaks; ii) reliable communication in atmospheric links using quantum optics.
Over the last years working with research and development, a natural passion turned out - analyzing and communicating data. Due to this exciting task of getting, from data, key answers for a variety of problems, I decided to dive even deeper into what I could do using data. In a nutshell, that is how I met data science and business intelligence.
Now, I'm looking for a full-time position as a data scientist/analyst to empower decision-making processes through intelligent data-driven solutions.
In my journey facing different kinds of problems, I needed to learn new tools that were better fitted in a particular case. Some of them are C/C++, Fortran, and Python.
When it comes to dealing with data, my preferred tools are those:
Programming Languages & Databases
- Python for data analysis
- Webscraping with Python
- SQL for data extraction
- Postgres and MySQL databases
Machine Learning & Statistics
- Descriptive Statistics
- Regression, classification, and clusterization algorithms
- Techniques of data balancing, feature selection, and dimensionality reduction
- Packages for Machine Learnig: Sklearn, SciPy
Data Visualization
- Matplotlib, Seaborn, Plotly, Bokeh
- Tableau
Software Engineering
- Git, Github, GitLab, Cookiecutter, Virtual Environment, Docker
- Streamlit, Flask, Python API's
- Cloud Heroku, AWS, GCP
Member @ Comunidade Data Science
- Engage in high-level trainings for data scientists
- Develop skills to solve practical business problems using statistics
- Produce personal projects using machine learning tools
- Connect between the students, academics and professionals in the field
Physicist - Research & Development Analyst @ Strata Consultive Engineering
- Develop studies and technical reports regarding equipment operation/calibration procedures
- Produce data-driven decision dashboards from raw field data
- Create metrics to evaluate the performance of workflows
- Manage the acquisition of new technologies
Scientific Initiation Fellow @ FAPERJ
- Develop an agent-based statistical-computational model to study Ebola virus outbreaks in the West African region
- Develop metrics to evaluate the outbreak severeness and how impactful a healthcare intervention could be
- Use the evaluations to propose best practices to suppress the outbreak
Teaching assistant @ Department of Mathemathics - UFF
- Monitor the discipline of differential and integral multivariable calculus
- Awarded with high honour for proposing the top-ranked monitoring project of the department.
If you have any questions, suggestions, or complaints, please message me on my Linkedin or at grosmanph@gmail.com. You can also follow me on Instagram for a more casual chat.
