iamcici0424/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.

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

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

• 💻 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