Ph.D. in analytical and computational chemistry with 4+ years in data analytics via project work and freelance jobs. Highly skilled in quantitative data analysis using statistical programming languages such as R, Python, and SQL to manipulate big data. Strong experience in machine learning techniques such as neural networks, regression, clustering, time-series forecasting. A hands-on self-motivated and dedicated individual with excellent communication skills. Excellent track record of developing and applying new and high-quality computational and statistical methods in scientific studies. ★Keywords: Python (e.g. Scikit-learn, pandas, numpy, Jupyter Notebooks, Keras), R, Linux/Unix, Tableau, cloud computing, Spark, git, SQL, machine learning, classification, regression, clustering, data scraping, data manipulation and data visualization(e.g. Matplotlib, seaborn), image recognition/classification, neural networks, data mining, data engineering, deep learning, data visualization ★ Github link: https://github.com/HuongIvyNguyen
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