GithubHelp home page GithubHelp logo

Hi there I'm Cici! Welcome to my page:)

Business Intelligence Engineer II @AWS We build AWS Infra Supply | Data Analytics | Marketing & Statistics

Cici Chen Cici Chen Cici Chen Cici Chen

  • 💻 How to reach me: [email protected]
  • 📝 Resume
  • 🌱 I’m currently refreshing and learning Python skills and more...
  • ⚡ Fun fact: Big fan of Harry Potter; Road-trips lover; Making Healthy Desserts...

A little more about me...

4.5 YOE motivated, detail-oriented, and responsible senior analyst with industry experience in data analytics, product growth, marketing, healthcare, business intelligence, and statistics at tech firms. Led team projects to track challenges and improvement areas. Demonstrated problem-solving and cross-team communications in turning ambiguous inquiries into concrete solutions.

Graduated in 2019 from Columbia University(M.A. in Statistics) and in 2017 from Baylor University (B.B.A. in Marketing). On my way to explore the beauty of data science, I have always been interested in transforming data into useful information and bringing brilliant product insights to the table. I believe that utilizing data is a powerful tool to support the story behind and I desire to continue to learn and grow more in this area step by step.

  • Programming: SQL(joins, windows, ctes, etc.), R(ggplot2, dplyr, glmnet, shiny, etc.), Excel (pivot table, vlookup), Python(matplotlib, numpy, pandas), SAS(Certified in Advanced/Statistical Business Analyst) Python (Matplotlib, NumPy, pandas, etc), Tableau, SAS, Jira, Asana, Databricks
  • Certifications: Google Analytics, CITI Researcher, SAS Advanced/Statistical Business Analyst, Hootsuite Platform
  • Tools: Tableau, Quicksight, Looker, Mode, Airflow, Redshift, Athena, S3, Databricks, DBT, Google Analytics
  • Statistics: Hypothesis Testing, A/B Testing, Sampling methods, Experimental Design, ANOVA
  • Machine Learning: Regression, Decision Tree, Random Forest, PCA, SVM, KNN, Clustering, Regularization

Some of my projects...

Marketing

Audible: Experimental Design

Team China: Product Promotion Plan

Case Study: Beyond the Bean

Retail Food Options on Campus: Are Students Satisfied?

Data Science & Statistics

Marketing Mix Models: Advertising Response Measurement

Fashion Image Recognition Using Machine Learning

Statistical Methods in Finance

Wage difference Between Black & White People

Crime Data Analysis

Business Intelligence & Analytics

AdventureWorks Workforce Evaluation

Noom: Simple Marketing Analysis

visitor badge

Cici Chen's Projects

audible_experimental_design icon audible_experimental_design

This is an individual project and 10 pages maximum. It mainly focuses on the experimental design of Audible's Engagement Marketing Team.

beyond_the_bean icon beyond_the_bean

This repo is based on the Beyond the Bean Case study, and it was the final project for MKT4330: Marketing Analysis. We want to ensure that the launch of the board game café Beyond the Bean happens successfully in one year by designing an effective marketing plan that includes SWOT analysis, the right target market, product pricing, promotion plan, etc.

crime_data_analysis icon crime_data_analysis

This repo documents the process of finding an appropriate model to predict the factors that reduce the number of serious crimes in a county.

ds-take-home icon ds-take-home

My solution to the book A Collection of Data Science Take-Home Challenges

marketing-mix-models icon marketing-mix-models

This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising response measurement.

product_promotion_plan icon product_promotion_plan

Final Project of MKT4325: International Marketing and Global Business Development, and Team China utilized this project as a global market plan to strategize Studio Movie Grill to China Market.

retail_food_options_on_campus icon retail_food_options_on_campus

This repo documents how Aramark makes decisions about retail food offerings on the Baylor University campus and how Baylor students have reacted to those decisions.

wage_difference icon wage_difference

This is the final project for Nonparametric Methods. The goal of this project is to study the wage difference between Black and White People and the reason behind it.

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.