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Amelie Ndongozi

@ameliendongozi

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Data scientist passionate about leveraging analytics for impactful decision-making.

United States

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and continuous learning in data analytics.

I am a dedicated data scientist currently pursuing my Master of Science in Business Analytics at Emory University. My journey in data science began with a Bachelor's Degree in Nutrition and Food Science from Colorado State University, where I developed a strong foundation in analytical thinking and problem-solving. I thrive on transforming complex data into actionable insights that drive strategic decisions.

In my current role as a Data Scientist Intern at SmartSQL, I have successfully built an AI-powered SQL exam platform that not only reduces professor workload but also enhances student engagement through innovative features like adaptive scoring and a conversational AI agent. My experience as a Data Scientist Consultant at Pennybacker Capital further honed my skills in unifying fragmented data sources and developing predictive models that inform investment strategies. I am passionate about using data to tell compelling stories and support organizational growth.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist Intern

Current

SmartSQL

Jul 2025 - Present (3 months)

Built an AI-powered SQL exam platform using MySQL, Streamlit, and GitHub, featuring auto-grading and adaptive scoring that reduced professor workload and scaled personalized student evaluation. Integrated a conversational AI agent via OpenAI API and Retrieval-Augmented Generation (RAG) to deliver schema-aware, context-driven questions and hints that boosted student engagement and learning outcomes

MySQL Streamlit GitHub Retrieval Augmented Generation (RAG)AI SQL

Data Scientist Consultant

Pennybacker Capital

Dec 2024 - Present (10 months)

Unified 50+ fragmented data sources across investment and property records, delivering insights that enhanced portfolio planning and flagged early signs of asset underperformance. Developed and deployed an XGBoost model using MLflow with 4% forecasting error (MAPE), enabling early detection of underperforming properties and sharper capital allocation decisions.

XGBoost MLFlow SQL Databricks Power BI Data Integration Forecasting

Research & Quality Analyst

Ardent Mills Innovation Center (AMIC)

Jun 2022 - Present (3 years 4 months)

Acted as a liaison between commercial, sales, and technical teams during a cross-functional grain optimization initiative, ensuring timely alignment between customer expectations and operational output. Designed and delivered Power BI dashboards to communicate complex lab insights across 30+ quality tests to non-technical stakeholders, enabling faster decision-making and improving supply chain eff

Power BI Data Visualization Supply Chain Quality Assurance Project Management