I am Chris, a Data Scientist / Researcher.
🧠 My background and experience focus on Machine Learning, Statistics and Programming and their application in industries such as Pharma, Public Health, Market and Business.
💻 I have >3 years of professional experience in building predictive models, automated data workflows, and delivering reports for decision-making.
🎓 Currently pursuing a PhD on Molecular Epidemiology investigating whether prevalent molecular dysfunctions linked to cancer incidence.
- Programing and scripting: Python, R, SQL, bash, Stata, C, HTML
- Data manipulation: pandas, regex, numpy, tidyverse
- Databases: MySQL, postgress, MongoDB, APIs & Web Scraping
- Machine learning: scikit-learn, lightgbm, xgboost, caret, e1071
- Deep learning: tensorflow, keras
- Data visualization: Power BI, matplotlib, seaborn, ggplot, Rshiny, dash, plotly, excel
- Version control system: Git, GitHub, GitLab