experience building MySQL-connected applications and pipelines via SQLAIchemy in Jupyter Notebook for extracting data from database, transforming, and doing analysis and visualization.
Implemented data preparation with Python, including data cleansing, handling missing data, Identifying outlier, and transforming data.
Conducted data processing and analysis using Spark SQL; implemented graph analytics and machine learing in Spark.
Visualized data with Matplotlib, Seaborn, Excel, Tableau, Power BI.
Built BI dashboards with Tableau, Power BI.
Facilitated advanced and scalable machine learning models on structured or unstructured data to solve classification, regression, and clustering problems.
Identify patterns & trends in data; provided insights to enhance business decision-making.