Hello! I'm John Bertolis, a passionate statistician with a deep-seated interest in biomedical analysis, bioinformatics, machine learning, and quality control. My journey through data has been diverse and dynamic, equipping me with a unique blend of theoretical knowledge and practical expertise to tackle complex challenges. I'm currently seeking a new opportunity to leverage my skills in an impactful role.

My career has been an exciting exploration of data's potential:

• AI Startup - Biostatistician (Last 3.5 years): For the past three and a half years, I've been immersed in the fast-paced world of an AI startup, where I've held a biostatistician position. Here, I've honed my skills in applying statistical methodologies to biological data, contributing to the development of cutting-edge AI solutions, and translating complex analytical results into actionable insights.
• Digitization Facility - Data Specialist (1 year): Prior to my current role, I spent a year at a digitization facility. This experience provided me with invaluable exposure to data pipeline development, data quality assurance, and the meticulous organization of large datasets.
• Freelance Statistician (5+ years): My career began with over five years as a freelance statistician. This period allowed me to work on a wide array of projects across various industries, fostering adaptability, problem-solving prowess, and a client-focused approach to data analysis.

My core competencies and passions lie at the intersection of statistics and advanced data science applications:

• Biomedical Analysis: Designing and analyzing clinical trials, interpreting biological data, and applying statistical models to health research.
• Bioinformatics: Working with genomics, proteomics, and other high-throughput biological data, often involving complex statistical and computational challenges.
• Machine Learning: Developing predictive models, leveraging algorithms for classification and regression, and exploring deep learning applications in healthcare and beyond.
• Quality Control: Implementing statistical process control, ensuring data integrity, and driving robust quality assurance measures.
• Statistical Modeling: Regression analysis, time series analysis, survival analysis, and multivariate statistics.
• Data Visualization: Creating clear, compelling visual representations of complex data to facilitate understanding and decision-making.

I'm proficient in a variety of tools and languages, always eager to learn and adapt to new technologies:

• Programming Languages: Python, R, Julia
• Libraries/Frameworks:
  • Python: pandas, NumPy, scikit-learn, TensorFlow, PyTorch, Matplotlib, Seaborn
  • R: tidyverse, ggplot2, caret, bioconductor
  • Julia: DataFrames.jl, Plots.jl, MLJ.jl
• Databases: SQL (PostgreSQL, MySQL)
• Version Control: Git, GitHub
• Statistical Software: SAS, SPSS (familiarity)

I believe in the power of clean, efficient, and reproducible code. My approach emphasizes:

• Modularity: Breaking down complex problems into manageable, testable components.
• Type Hinting: Ensuring code robustness and readability through explicit type declarations.
• Robust Error Handling: Building resilient systems that gracefully handle unexpected inputs and scenarios.
• Comprehensive Testing: Ensuring reliability and correctness with thorough unit and integration tests.
• Clear Documentation: Making code accessible and understandable for collaborators and future self.

I'm passionate about data-driven innovation and am always open to discussing new opportunities or collaborations. Feel free to explore my repositories to see some of my work, and don't hesitate to reach out!

• 📧 Email: bertolis.j@gmail.com
• 🔗 LinkedIn: John Bertolis