Aspiring data scientist seeking to transition my skills to a faster-paced and goal-oriented environment. I am currently a senior actuarial analyst with over eight years of experience performing data and valuation work. Fluent in data analysis and machine learning/predictive analytics on technical, conceptual, and statistical levels. Passionate about creative problem-solving, exploratory data analysis, and clean and efficient coding.GitHub: https://github.com/danielpickett369Skills: • Machine learning: classification/regression modeling, unsupervised learning, feature selection, hyperparameter tuning • Statistical methods: hypothesis testing, confidence intervals, regression analysis, time series forecasting, probability calculation • Software and coding languages: Python (NumPy, pandas, matplotlib, seaborn, scikit-learn), SQL, Microsoft Office (Excel, Word, PowerPoint), Tableau (in progress)
Listed skills include Scikit Learn, Data Science, Microsoft Powerpoint, Data Analysis, and 17 others.