• Self-paced studied online learning modules on advanced Universal Analytics concepts, including planning and principles; implementation and data collection; configuration and administration.
• Investigated data collection and process procedure and usage of configurations; Studied analysis techniques and marketing strategies.
• Researched, experimented, and learned data operation using Python and Pandas library on topics of data filtering, data extraction, and data
visualization.
• Constructed Python codes for merging, joining, and concatenating data frames, realized functions of inner and outer joins, and merging with
index.
Programming Languages Python, R, SQL
Software Proficiencies SAS, PowerBI, Rstudio, Jupyter
Notebook
Analytical Abilities Machine Learning Libraries, Random
Foresting, Decision Trees, Mathematical Modeling
Data Preprocessing Project, August 2022 – Present
• Cleaned, processed, and analyzed given database using different mathematical and analytic models; Constructed prediction model for market
of residences.
• Trained prediction model and enhanced the precision through model shifting; Avoided over-training and undertraining by adjusting training
sets.
E-Commerce Sales Data Analysis, August 2022
• Analyzed time series data from the E-commerce sector, analyzed on monthly sales, maximum order, and product trending; Provided analysis
report and business intelligence insight based on the data analysis results.
• Retrieved and filtered database for Amazon and eBay, pre-process and filter data using Python and Pandas &Matplotlib libraries.
• Worked through data analytics pipeline and created analysis using visualized charts and graphs.