Vincent de Paul Ntihinyurwa
Data Scientist @Merkle
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WORK HISTORY
Data Scientist @Merkle
Columbia, MD, US
Develop and deploy end-to-end machine learning models and advanced analytics solutions to optimize marketing performance, customer segmentation, and campaign effectiveness across multi-channel digital platforms.• Build scalable data pipelines and ETL workflows using Python, SQL, and cloud-based architectures to process large-scale structured and unstructured datasets for real-time analytics and reporting.• Leverage big data technologies including Snowflake, Databricks, and Apache Spark to perform data transformation, feature engineering, and predictive modeling to support data-driven decision-making.• Collaborate with cross-functional stakeholders including marketing, product, and engineering teams to translate business requirements into actionable insights, dashboards, and performance optimization strategies.
EDUCATION
The University of Texas at Austin
Postgraduate Program, Cloud Computing
University of Texas at Austin
Postgraduate Degree, Cloud Computing
Texas State University
Master of Science, Data Analytics
University of the People
Master of Business Administration, Business Administration and Management
ABOUT VINCENT DE PAUL NTIHINYURWA
Bridging the gap between scalable data architecture and data-driven decision-making.I’m a Data Scientist with an MS in Data Analytics & Information Systems and an MBA, focused on building reliable data foundations that power analytics, machine learning, and strategic insight. My experience spans the full data lifecycle, from engineering high-integrity data pipelines to developing and deploying machine learning solutions that address real-world business problems.Where I add valueApplied Data Science & Machine LearningI work across the applied ML lifecycle, including exploratory data analysis (EDA), feature engineering, forecasting, model training, validation, and deployment. I’m particularly interested in production-oriented ML, where models are monitored, evaluated, and tied directly to operational and business outcomes.Data Engineering & Analytics FoundationsI design and support ELT/ETL pipelines and cloud-based data platforms, with an emphasis on data quality, reliability, and automation. My focus is on ensuring data is clean, governed, and ready for advanced analytics and AI-driven use cases.Strategic Analytics (The MBA edge)I go beyond reporting to deliver clarity and context. By combining analytical rigor with business understanding, I translate complex data into actionable insights that help stakeholders anticipate risks, identify opportunities, and make informed decisions.Core Technical FocusPython · SQL · Machine Learning & Forecasting · Feature Engineering · Data Engineering & ETL · Cloud Data Platforms · Data Warehousing · BI & Analytical Storytelling · Data Quality & AutomationI’m open to Data Scientist, Data Engineer, and Data Analyst roles where strong data foundations, automation, and measurable business impact are priorities.
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