Location: San Francisco Bay Area
Self Introduction: I have just finished my second master's degree in statistics.
I am seeking an entry-level data analyst or data scientist positions. I’m passionate about data and extracting value from data, and good at advanced analytics skills. Also, I am very curious, detail-oriented, fast learn, problem-solving and proactive. Before the program, I have 5 years’ working experience and even led a small team of 4 members in another country.
Remote: Open
Software: R, SAS, MySQL &amp; PostgreSQL, Python, Tableau, Power BI, GitHub, Excel, PowerPoint, LaTeX, EViews, SPSS, MapInfo
Skills: Theory of Point and Interval Estimation and Hypothesis Testing, Bayesian Methods, Experiential Designs (ANOVA, ANCOVA, AB testing, Multiple Comparisons and Latin Square Designs (LSD)), Linear Regression, Machine Learning (KNN, Logistic Regression, Naïve Bayes, K-means Cluster, SVM, Decision Tree, Random Forest), Data Visualization (ggplot2, Tableau, Seaborn), Deep Learning (Keras, TensorFlow, RNN, LSTM, CNN), Natural Language Processing (Sentiment Analysis, N-grams, TF-IDF, Topic Modeling), Advanced SAS (SQL and Macro), Advanced Statistical Theory (MLE, LRT, Monte Carlos), Data Synthesis, Data Pipeline, Data Mining, Data Wrangling, Data Visualization, Statistical Modeling, Machine Learning, Regression-based Models, Hypothesis Testing, Text Mining, Cohort Analysis
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