Work Experience
You can also find my work experience on my LinkedIn profile.
- Cintra US (Austin, TX) | Data Scientist | May 2022 – Aug. 2023
- Built machine learning models to improve the work efficiency of business and operation teams, including:
- Dynamic Pricing: Developed LightGBM (quantile) models to predict future demand and its confidence interval, enabling the identification of demand anomalies.
- Incident Detection: Created a prediction system using real-time vehicle status data, incident history reports, and highway pavement data.
- Analytics AI: Built predictive models and explainability tools for business decision-making.
- Conducted statistical analyses (A/B tests) to quantify driver behaviors and preferences, such as peak-hour behavior and lane-changing patterns, while measuring the impact of external interventions (e.g., large events, extreme weather).
- Built machine learning models to improve the work efficiency of business and operation teams, including:
- HP Inc. (Vancouver, WA) | Marketing Survey Data Analyst | Apr. 2020 – May 2022
- Modeled large-scale email survey data to analyze the impact of customer journey experiences on Net Promoter Scores (NPS) and provide actionable insights.
- Prioritized customer review records for response team efficiency using Supervised LDA topic modeling and statistical learning models.
- Assisted UX teams with power analysis, A/B testing, and general linear regression methods to optimize email survey titles and UI.
- Samsung Electronics America (Plano, TX) | QA Engineer | Mar. 2019 – Mar. 2020
- Validated functions related to communication networks of Android devices across different wireless networks (GSM, WCDMA, 4G, and 5G) through software, field, and automation testing.
- Analyzed emerging issues based on device logs and testing data to identify root causes and closely collaborated with the R&D team to conduct further verifications and analyses.
- ZTE USA Inc. (Richardson, TX) | Software Test Engineer | Apr. 2018 – Mar. 2019
- Developed and implemented the “AIO” automation testing project, transitioning from manual to automated testing to enhance efficiency and quality.