- 📊 In just 2+ years as a Data Analyst, I've shown great results, including boosting sales by 12% and generating an extra $20k annually through advanced data analysis techniques like K-means clustering and Market Basket Analysis.
- 🔭 I have a Bachelor’s degree in Mathematics from UBC and am on track to graduate with a Master's degree from UCLA.
- 👀 I’m interested in data analysis, machine learning, and prediction related to product analytics and user experiences. My work often focuses on A/B testing, predictive analytics, reporting & insights, and defining new metrics.
- 😄 I primarily use Python, R, SQL, Tableau.
- 🌱 Since I lost access to my old account, I'm adding more of the projects I've been working on to this profile :)
I am a data analyst interested in uncovering insights and solving complex problems. I enjoy transforming data into actionable insights using R, Python, and SQL. I'm passionate about organizing and cleaning up messy data to create visually appealing graphs and charts that tell a story. Plus, I love using advanced techniques to predict future trends and outcomes based on historical data.
👩🏻💻 Languages and Data Analytics Tools:
➤ Python:
- El Nino Data Analysis in Python (numpy, pandas, scipy, sklearn, matplotlib)
- Statistical analysis and visual explanation of large climate data
➤ SQL:
➤ R:
- Covid Cases Prediction (tidyverse, leaps, ggplot2)
- Wine Classification (tidyverse, randomForest, nnet, neuralnet, FNN)
- Predicting Economic Mobility (glmnet)
➤ Microsoft Excel: Pivot Tables/Charts, Index/Match, X/VLOOKUP, IFS, SUMIFS
👩🏻💻 Data Visualization Tools:
➤ Tableau (both Desktop and Public): Sales Dashboard
➤ Power BI
➤ Matplotlib
👩🏻💻 SQL: PostgreSQL, MySQL, Spark