Vanessa Chen

I am a Master's student in Information Systems Management specializing in Business Intelligence & Data Analytics, with strong academic performance and practical experience building production-ready ML systems. I combine rigorous statistical foundations with software engineering practices to deliver reliable data products.

In industry roles I have expanded reinforcement-learning trading systems, engineered low-latency infrastructure, and built ETL pipelines and dashboards that reduced manual work and operating costs. I emphasize hybrid AI–statistical approaches to improve model robustness under changing regimes.

My projects include an end-to-end movie recommendation platform deployed with Docker, Kubernetes, Jenkins, MLflow, Kafka and PostgreSQL, and time-series forecasting of housing markets using ARIMA, Prophet and LSTM on large datasets. I prioritize automation, reproducibility and measurable business impact.

I bring cross-functional collaboration experience with product, marketing and analytics teams, and I seek roles where I can design, deploy, and monitor ML-driven products that drive business outcomes while maintaining high reliability.