Open to opportunities

Jaden Ellis

@jadenellis

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Data science student seeking data analyst internship—building predictive models and actionable insights.

United States

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What I'm looking for

I’m seeking a data analyst internship/entry-level opportunity where I can use my SQL, Python, and machine learning skills to generate actionable insights and solve real problems with clear, reliable analysis.

I’m a data science student with experience in machine learning, SQL, Python, and AI data workflows. I’ve built predictive models (Linear Regression, Random Forest, XGBoost), developed SQL pipelines, and turned data into actionable recommendations through analytics projects and digital media operations.

Most recently, I’ve worked as an AI Training Contributor, improving training quality by evaluating audio, visual, and text-based content through structured annotation workflows and validating transcripts for reliability. I’m also actively engaged in coursework and hands-on work—Machine Learning, Database Systems, Econometrics, and Statistics—because I like moving from raw data to clear decisions.

Experience

Work history, roles, and key accomplishments

Current

AI Training Contributor

Current

Handshake AI

Feb 2026 - Present (3 months)

Improved AI training quality by evaluating audio, visual, and text content through structured annotation workflows. Enhanced dataset reliability by validating transcripts and assessing contextual accuracy.

Data Annotation Contextual Accuracy Assessment AI Training Data Structured Assessment

Education

Degrees, certifications, and relevant coursework

Canisius University

Bachelor of Science in Data Science, Data Science

Grade: GPA: 3.93/4.0; Dean’s List (All Semesters); Dean’s List with Special Distinction

Activities and societies: Relevant coursework: Machine Learning; Database Systems; Econometrics; Statistics; Data Structures & Algorithms.

Pursuing a Bachelor of Science in Data Science with a minor in Business at Canisius University, expected May 2026. Coursework includes machine learning, database systems, econometrics, statistics, and data structures & algorithms.