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I'm Yeji Choe, a data scientist with 3+ years' experience applying machine learning and forecasting to help organisations anticipate demand and act with confidence. I specialise in connecting external signals such as events, weather, and macroeconomic trends with internal data to reveal why demand changes and how to respond. I blend technical depth with business clarity, partnering with customers to improve model performance, explain results in plain English, and translate predictive insights into measurable outcomes. I thrive on turning complex analyses into actionable strategies that stakeholders can trust.…I'm Yeji Choe, a data scientist with 3+ years' experience applying machine learning and forecasting to help organisations anticipate demand and act with confidence. I specialise in connecting external signals such as events, weather, and macroeconomic trends with internal data to reveal why demand changes and how to respond. I blend technical depth with business clarity, partnering with customers to improve model performance, explain results in plain English, and translate predictive insights into measurable outcomes. I thrive on turning complex analyses into actionable strategies that stakeholders can trust.

Yeji Choe

Data Analyst, Data Scientist, Data Visualizer, +4

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I'm Yeji Choe, a data scientist with 3+ years' experience applying machine learning and forecasting to help organisations anticipate demand and act with confidence. I specialise in connecting external signals such as events, weather, and macroeconomic trends with internal data to reveal why demand changes and how to respond. I blend technical depth with business clarity, partnering with customers to improve model performance, explain results in plain English, and translate predictive insights into measurable outcomes. I thrive on turning complex analyses into actionable strategies that stakeholders can trust.…I'm Yeji Choe, a data scientist with 3+ years' experience applying machine learning and forecasting to help organisations anticipate demand and act with confidence. I specialise in connecting external signals such as events, weather, and macroeconomic trends with internal data to reveal why demand changes and how to respond. I blend technical depth with business clarity, partnering with customers to improve model performance, explain results in plain English, and translate predictive insights into measurable outcomes. I thrive on turning complex analyses into actionable strategies that stakeholders can trust.

Available to hire

I’m Yeji Choe, a data scientist with 3+ years’ experience applying machine learning and forecasting to help organisations anticipate demand and act with confidence. I specialise in connecting external signals such as events, weather, and macroeconomic trends with internal data to reveal why demand changes and how to respond.

I blend technical depth with business clarity, partnering with customers to improve model performance, explain results in plain English, and translate predictive insights into measurable outcomes. I thrive on turning complex analyses into actionable strategies that stakeholders can trust.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Fluent

Korean

Fluent

Work Experience

Data Scientist (Contract) at Quantiful

June 1, 2025 - August 1, 2025

Partnered with enterprise clients (Sanofi, Nufarm, Farmers NZ) to embed demand intelligence into planning and forecasting workflows. Improved forecast reliability by ~12% WAPE via ensemble redesign and feature optimization. Led feature roadmap sessions with client data-science and product teams to align Quantiful APIs and signals with business objectives. Prioritized features (promotions, pricing elasticity, external event data) based on accuracy impact and use case fit. Collaborated with internal engineers to translate client feedback into scalable model updates and MLOps improvements. Built model performance dashboards and reliability reports enabling clients to monitor accuracy and drift autonomously. Impact: Delivered production-ready forecasting solutions linking model improvements to business value and increased client trust in AI forecasts. Impact: Enhanced model interpretability and trust in AI-driven forecasting among executive stakeholders.

Gas Forecast Planner (Contract) at Genesis Energy

March 1, 2025 - June 1, 2025

Mapped end-to-end gas forecasting and nomination processes, from demand inputs through to pipeline submissions, reconciliation, and financial settlement. Documented forecasting, nomination, and reconciliation workflows, clarifying roles, data dependencies, hand-offs, and timing across trading, operations, and finance teams. Analysed gaps between forecast and actual flows to identify process weaknesses, data issues, and control improvements, informing changes to future forecasting cycles. Standardised data inputs and outputs across SQL and Python workflows to improve consistency, traceability, and auditability of forecasting and invoicing processes. Supported incident and contingency processes during Maui pipeline outages by modelling emergency supply scenarios and aligning operational priorities with documented decision frameworks. Translated technical analysis into clear process explanations, risk impacts, and decision options for non-technical stakeholders in trading and scheduling t

Senior Data Analyst at Yes Energy (Colorado-based Energy Advisory)

November 1, 2022 - March 1, 2025

Led large-scale forecasting and analytical projects across multiple regions, supporting strategic decision-making for enterprise clients and public-sector organisations. Developed and maintained advanced analytical models to forecast demand and performance, improving short-term accuracy by over 15% and increasing confidence in planning and risk decisions. Designed data models accounting for drivers such as customer behaviour, distributed assets, and operational constraints, enabling more realistic scenario analysis. Performed scenario and sensitivity analyses to identify key volatility drivers, translating findings into clear insights for commercial and leadership teams. Built and maintained standardised dashboards using Python and Power BI, enabling consistent tracking of accuracy, trends, and reliability across products and regions. Collaborated with stakeholders to validate assumptions and ensure outputs were fit for both technical and non-technical audiences. Worked with internatio

Case Manager at Airbnb (Resolution 1&2)

March 1, 2019 - January 1, 2020

Resolved 500+ cross-cultural cases with empathy and discipline, strengthening communication and judgment skills now applied in client and team settings.

Case Manager at Airbnb (Ubase)

March 1, 2019 - January 31, 2020

Resolved 500+ customer cases with empathy and discipline, building cross-cultural communication skills now used in stakeholder engagement.