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Hello! I’m Gabriel Hoang, a Senior Data Scientist with over a decade of hands-on experience across software engineering, data science, and machine learning. I enjoy turning real business questions into measurable outcomes through careful analysis, model development, and clear communication. I’m comfortable owning projects end-to-end and collaborating with cross-functional teams, especially when problems are messy and require thoughtful framing. My background covers ML development, EDA, A/B testing, and production systems, with a track record of delivering decisions that help teams move faster and smarter.…Hello! I’m Gabriel Hoang, a Senior Data Scientist with over a decade of hands-on experience across software engineering, data science, and machine learning. I enjoy turning real business questions into measurable outcomes through careful analysis, model development, and clear communication. I’m comfortable owning projects end-to-end and collaborating with cross-functional teams, especially when problems are messy and require thoughtful framing. My background covers ML development, EDA, A/B testing, and production systems, with a track record of delivering decisions that help teams move faster and smarter.

Gabriel Hoang

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Hello! I’m Gabriel Hoang, a Senior Data Scientist with over a decade of hands-on experience across software engineering, data science, and machine learning. I enjoy turning real business questions into measurable outcomes through careful analysis, model development, and clear communication. I’m comfortable owning projects end-to-end and collaborating with cross-functional teams, especially when problems are messy and require thoughtful framing. My background covers ML development, EDA, A/B testing, and production systems, with a track record of delivering decisions that help teams move faster and smarter.…Hello! I’m Gabriel Hoang, a Senior Data Scientist with over a decade of hands-on experience across software engineering, data science, and machine learning. I enjoy turning real business questions into measurable outcomes through careful analysis, model development, and clear communication. I’m comfortable owning projects end-to-end and collaborating with cross-functional teams, especially when problems are messy and require thoughtful framing. My background covers ML development, EDA, A/B testing, and production systems, with a track record of delivering decisions that help teams move faster and smarter.

Available to hire

Hello! I’m Gabriel Hoang, a Senior Data Scientist with over a decade of hands-on experience across software engineering, data science, and machine learning. I enjoy turning real business questions into measurable outcomes through careful analysis, model development, and clear communication.

I’m comfortable owning projects end-to-end and collaborating with cross-functional teams, especially when problems are messy and require thoughtful framing. My background covers ML development, EDA, A/B testing, and production systems, with a track record of delivering decisions that help teams move faster and smarter.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Senior Data Scientist at AI superior

March 1, 2024 - Present

Guiding high-impact ML and analytics projects, shaping how models are used in production systems and operational workflows. Directed a real-time prediction pipeline using Python, scikit-learn, Spark, and FastAPI that increased decision accuracy by about 15% in formal evaluation. Designed LLM-driven analysis tools with PyTorch and Hugging Face, enabling teams to summarize large sets of internal data without manual overhead. Constructed experiment analyses using SQL and Statsmodels, helping product managers interpret results with fewer ambiguities. Partnered closely with engineering to refine ML monitoring and deployment using MLflow and Kubernetes, reducing day-to-day maintenance pain points.

Senior Data Scientist at McKinsey & Company

September 1, 2020 - February 1, 2024

Senior individual contributor responsible for full ML project ownership, from scoping and EDA to deployment, documentation, and model follow-up. Engineered supervised learning systems with scikit-learn and TensorFlow that strengthened forecasting accuracy and informed planning discussions. Established a consistent workflow for EDA and feature creation, cutting down time for early-stage investigation. Shaped a model evaluation practice using statistical testing and error profiling. Collaborated with engineers to integrate ML into production using Spark, Airflow, and container-based services. Ran A/B test evaluations with SQL and Statsmodels and translated findings into clear product guidance. Introduced MLflow tracking and documentation standards for transparency and handoff. Mentored junior members and prepared visual reports for leadership.

Data Scientist at Transmetrics

June 1, 2017 - August 1, 2020

Handled data science work including EDA, modeling, experimentation, and partnering with product and engineering teams. Performed exploratory studies using Python, pandas, and SQL to uncover user patterns and operational inefficiencies. Created and validated ML models with scikit-learn and TensorFlow. Set up reusable feature engineering routines. Conducted A/B test analyses and produced visual summaries with Seaborn and Plotly for stakeholders.

Software Engineer at DeepCode

September 1, 2015 - May 1, 2017

Supported engineering and analytics teams by building data components and improving internal data systems. Engineered ETL jobs using Python, SQL, and scheduling tools. Created APIs and small utilities to facilitate data extraction/ transformation for reporting and lightweight analytics.