Iris Miao
Jersey City,NJ
Summary
Senior Data Analyst with 2 years of experience and extensive training in healthcare and marketing. Well-versed in analyzing consumer behavior to drive growth and improve performance. Proven skill in SQL and Python for data management and metric analysis. Interested in exploring the intersection between data analytics and healthcare.
Overview
5
5
years of professional experience
Work History
Senior Marketing Data Analyst
Veeva Systems
10.2023 - Current
- Assessed 60+ campaign performances using SQL, Python and Excel to analyze effectiveness of media marketing campaigns for various drugs, and utilized findings to provide recommendations on optimal media strategy
- Developed comprehensive suite of health metrics to provide visibility into media performance for 50+ brands, leading to more informed and accurate campaign performance analyses
- Evaluated marketing exposure, consumer behavior, and transactional health data across multi-media channels (e.g., television, mobile, website, billboard) to understand and drive insights into 10M+ patients and their purchasing behavior by translating client business rules into Veeva's proprietary coding language
- Trained and led 8+ new hires on methodology, execution and professional development
Data Visualization Intern
Merge Solutions
06.2021 - 01.2022
- Ran linear regressions, ANOVA and other statistical tests using RStudio and Python across 70+ datasets to identify patterns and trends within the national COVID-19 space
- Compiled, cleaned, and manipulated data in order to effectively extract 20+ variables and derive insights
- Developed visualizations of mobility effects on COVID-19 cases with React, NodeJs, and Redux
Machine Learning Research Project
Carnegie Mellon University
02.2021 - 05.2021
- Performed text categorization of messages from cancer support group patients to predict whether or not emotional support was present or needed
- Identified problematic features with horizontal and vertical comparison on development set with 954 instances of data
- Trained a classifier on cross-validation set with 1910 instances using SVM algorithm to better predict and categorize text messages
Smart Device Application Developer Intern
Thales Avionics
06.2019 - 08.2019
- Created a cross-platform software application that shortened the process of searching and extracting details of 50+ customer contracts, including SLAs and various KPIs
- Implemented database with Django and SQLite to house contracts on shared AWS server
- Managed the project schedule by coordinating with various stakeholders to streamline efficiency and proactively address potential problems
Education
Bachelor of Science - Statistics
Carnegie Mellon University
Pittsburgh, PA05.2022
Skills
- Python
- R
- SQL
- JavaScript
- Tableau
- Spotfire
- Microsoft Office
- Google Suites
Timeline
Senior Marketing Data Analyst
Veeva Systems
10.2023 - Current
Data Visualization Intern
Merge Solutions
06.2021 - 01.2022
Machine Learning Research Project
Carnegie Mellon University
02.2021 - 05.2021
Smart Device Application Developer Intern
Thales Avionics
06.2019 - 08.2019
Bachelor of Science - Statistics
Carnegie Mellon University
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