Robin is a data science professional with strong machine learning, data analysis and communication skills. Her expertise lies in predictive analytics, data manipulation and data visualization. She is always enthusiastic about applying data-driven techniques to accelerate business decision-making and develop actionable insights to solve business problems. She has 1.5 years of professional experience in data science and 3 years of experience in program/supply chain management across leading and fast-paced tech and retail industries. Github: https://github.com/peng0363Tableau: https://public.tableau.com/app/profile/yu.chun.peng• Programming Languages: Python, R, SQL• Database Tools: BigQuery, MySQL, Microsoft SQL Server, Hive• BI Tools: Tableau, Power BI, Looker Studio• Other Tools: Streamlit, Hadoop, Spark, Snowflake, AWS, JIRA, GitHub, Google Cloud Platforms, Salesforce• Exploratory Analysis: Association Rules, K-Means Clustering, Anomaly Detection• Predictive Analytics: Regression Model, Naïve Bayesian Classifiers, K-NN, Decision Tree, RandomForest, XGBoost, LightGBM, Time Series Forecasting, Recommendation System• Others: A/B testing, Statistical Analysis(Hypothesis Testing), Storytelling
Listed skills include Python, Microsoft Powerpoint, Microsoft Office, Teamwork, and 14 others.