I'm an applied Research Scientist, Software Engineer and TechnicaI Leader. I am results oriented and like to solve difficult problems. My specialties are research question formulation, design and hypothesis testing with robust reproducible statistical and machine learning methods and reports.When I'm not coding you can find me either running, hiking, biking, high-pointing, thru-hiking, or reading economic history. Occasionally I try my hand at woodworking.𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐤𝐢𝐥𝐥𝐬𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: Python, SQL, Bash𝐌𝐋 𝐋𝐢𝐛𝐫𝐚𝐫𝐢𝐞𝐬: Scikit-Learn, TensorFlow, Keras, Gensim𝐄𝐓𝐋 & 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: Spark, Flask, Pandas, BeautifulSoup, Selenium, Numpy, Scipy𝐄𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐂𝐨𝐝𝐢𝐧𝐠/𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Jupyter Notebook, JupyterLab, Git, Spyder, AWS(EC2)𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐓𝐞𝐜𝐡𝐧𝐢𝐪𝐮𝐞𝐬: Sampling, Significance Testing, Regression, Classification, Regularization, Ensemble Methods, Clustering, PCA, Anomaly detection, feature engineering, Missing data, Hypothesis Testing, Maximum Likelihood (ML), confidence intervals, t-tests, ANOVA, Structured Equations Modeling (SEM), neural-networks(CNN, RNN, LSTM), NLP𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: MySQL, PostgreSQL𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: Tableau, Matplotlib, Seaborn, Excel