Hamid H.

WORK HISTORY

EDUCATION

ABOUT HAMID H.

I\'m a machine learning enthusiast with a strong background in mathematics and statistics. I\'m always curious about what\'s under the hood of machine learning models! Nowadays, I\'m working on applications of machine learning and NLP in Finance. I got my M.Sc. in Mathematics and Statistics from the University of Calgary where I developed Grad-Learn. Grad-Learn is an open-source Python library for large-scale statistical and machine learning (read more about Grad-Learn here: https://hh197.github.io/Grad-Learn/).Before joining the University of Calgary, I designed machine learning and statistical methods to discover hidden patterns of mutations and gene expressions in evolution and cancer. My work shed light on crucial insights for understanding disease progression and personalized treatments. I\'m always excited about new developments in AI and thrive on learning new things and collaborating. Please feel free to reach out to me if you have any questions about my work or would like to chat.Skills:• Programming Languages: Python (PyTorch, NumPy, Pandas, Scikit-Learn, SciPy, XGBoost, Matplotlib), R, SQL• Tools: Git, Linux Bash, Jupyter Notebook, Apache Spark, Spark SQL, MySQL, Microsoft Azure• Deep Learning: AE, VAE, CNN, RNN, Transformers• Natural Language Processing (NLP): LLMs, RAG• Unsupervised Learning: K-Means, Gaussian Mixture Model, NMF, PCA, NPCA• Supervised Learning: Linear Regression, Logistic Regression, Generalized Linear Mixed Models, KNNs, Random Forests, Naive Bayes • Statistical Analysis: Hypothesis Testing, A/B Testing, Bayesian Inference• Data Visualization: ggplot2, Matplotlib, seaborn.