Mark Barna ^Leaders

AI/ML practitioner with interests in life sciences and energy. Technical experience building machine learning algorithms. Further professional experience in project management, budgeting, and financial forecasting. Passionate about applying data-driven solutions to improve human wellbeing.

TECHNICAL SKILLS:
• Delivering production-ready machine learning models
• Neural networks (CNN, LSTM) implemented in PyTorch and Keras/Tensorflow to perform natural language processing, image classification, and time series analysis
• NLP-specific models, including document classification, named entity recognition and sentence similarity (Gensim, SpaCy, Flair)
• Non-deep learning methods, including survival analysis (Scikit Survival) and SVD recommender systems (Scikit Surprise)
• Data cleansing and preprocessing with Python (Pandas, Vaex, Scikit-Learn), R (Dplyr) and SQL
• Machine learning productization with tools including git, Gitlab CI/CD, and AWS
• Data visualization and presentation using Python (Matplotlib, Seaborn), d3.js and Tableau
• Regression analysis and linear mixed models using Stata and R
• Geospatial data analysis and map creation with ArcMap, QGIS, R (SF package)