Just as a picture says a thousand words, check out my projects and class work to see what I can do/ have learned.

• Recently graduated from Baruch College with MS degree in Business Analytics
• Organizations I have worked at as a Research and Planning Intern or volunteer Data Analyst:
  • Code for America
  • Shelter Animals Count
  • Hack for LA (current)
  • Seattle Promise
  • Hawaii Zoning Atlas (current)

Programming Languages Learned: Python, SQL, and R

Other technical skills: Tableau, Excel, Looker, Google Analytics

SQL

• Exploring World COVID Data in Microsoft SQL Server using SQL queries.

Tableau - Click to view dashboards I have created for my projects in my Tableau Public profile!

• Visualizing Impact of COVID on Geographical and Income sectors and Progress of Vaccination Efforts. Find data used here.
• COVID dashboard created by following AlextheAnalyst
• Dashboard Report on General Electric's Operation and Manufacturing Accuracy for Aviation Industry

Python

• Document Content Similarity Comparison Program (Try out the program in Google Colab here)

Tableau (Data Exploration, Analysis, Visualization, and Storytelling)

• Tableau Dashboard: Analyzing gender stratification and cultural influences on the comic book industry (Group Project) (Click here to view | Click here to download)

Python (Data Analysis, Machine Learning, and Writing Simple Programs)

• Weather Forecasting Models using XGBoost (Group Project)
• Models for Predicting Disaster-Related Tweets (NLP)
• Games: Hangman Game
• Supermarket Checkout, Bowling Score Display, and Course Search System
• Practice work for Fundamentals (DataFrame and Series creation, calculators, etc.)
• Creating mini functions for NPL-related analysis

R (Writing Simple Programs and Machine Learning)

• Simulations

• Linear Regression Modeling

• and more (check out my repositories)!

1. random
2. numpy
3. pandas
4. matplotlib
5. scikit-learn
6. seaborn
7. statsmodels
8. calendar
9. time
10. nltk
11. mlxtend.frequent_patterns

1. Linear Regression
2. Logistic Regression
3. Tree-based Models (Classification and Regression) - Decision Tree, Random Forest, XGBoost, etc.
4. CLustering
5. Natural Language Processing (Word2Vec)
6. PCA and ICA

1. tidyverse
2. R markdown
3. ggplot
4. dplyr
5. linear models
6. rpart and randomForest and more...

• Masters in Business Analytics, Data Analytics concentration (3.8)
• B.B.A in Marketing Management, General (4.0)

Social Media Strategy and Marketing, Social Listening, Market Research, Basic WordPress Website Management, Graphic Design, Event Planning, SEO optimization

1. Southeast Asian from Singapore and Malaysia
2. Speaks two non-coding languages: English and Mandarin
3. Curious and always digging into the details.
4. What I tell myself:
   “And as you wish that others would do to you, do so to them.”
   There is nothing too difficult to learn, just whether you are willing to learn.
   There is nothing useless in this world.