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Hi, I’m Jing Fei Li. I’m a marketing analytics professional who loves turning data into clear, actionable insights. I specialize in marketing mix modeling, budget optimization, and building automated data pipelines that streamline reporting and decision-making. I’m currently pursuing an MSc in Data Science & Machine Learning at the National University of Singapore, after earning a BSc in Statistics from the University of British Columbia. I thrive in cross-functional teams, applying rigorous analytics to improve marketing ROI and drive business growth.…Hi, I’m Jing Fei Li. I’m a marketing analytics professional who loves turning data into clear, actionable insights. I specialize in marketing mix modeling, budget optimization, and building automated data pipelines that streamline reporting and decision-making. I’m currently pursuing an MSc in Data Science & Machine Learning at the National University of Singapore, after earning a BSc in Statistics from the University of British Columbia. I thrive in cross-functional teams, applying rigorous analytics to improve marketing ROI and drive business growth.

Jing Fei Li

Data Scientist, Data Analyst, Marketing Analyst, +5

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Hi, I’m Jing Fei Li. I’m a marketing analytics professional who loves turning data into clear, actionable insights. I specialize in marketing mix modeling, budget optimization, and building automated data pipelines that streamline reporting and decision-making. I’m currently pursuing an MSc in Data Science & Machine Learning at the National University of Singapore, after earning a BSc in Statistics from the University of British Columbia. I thrive in cross-functional teams, applying rigorous analytics to improve marketing ROI and drive business growth.…Hi, I’m Jing Fei Li. I’m a marketing analytics professional who loves turning data into clear, actionable insights. I specialize in marketing mix modeling, budget optimization, and building automated data pipelines that streamline reporting and decision-making. I’m currently pursuing an MSc in Data Science & Machine Learning at the National University of Singapore, after earning a BSc in Statistics from the University of British Columbia. I thrive in cross-functional teams, applying rigorous analytics to improve marketing ROI and drive business growth.

Available to hire

Hi, I’m Jing Fei Li. I’m a marketing analytics professional who loves turning data into clear, actionable insights. I specialize in marketing mix modeling, budget optimization, and building automated data pipelines that streamline reporting and decision-making.

I’m currently pursuing an MSc in Data Science & Machine Learning at the National University of Singapore, after earning a BSc in Statistics from the University of British Columbia. I thrive in cross-functional teams, applying rigorous analytics to improve marketing ROI and drive business growth.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Data Analytics Intern at Monroe Partners

August 1, 2024 - June 1, 2025

Led a deep investigation into anomalies in the remove_from_cart event, analyzing 100k+ remover events; designed and tested hypotheses including cross-device identity transitions, ad-blocker interference, and multi-tab concurrency; identified 29.3% of users exhibited 'Remove Without Prior Add' behavior; implemented data-driven recommendations to improve retention.

Marketing Analytics Intern at Castlery

August 1, 2024 - January 1, 2026

Budget recommendation model: designed category-level budget allocation framework to optimize marketing spend efficiency. MMM: Applied MMM to evaluate channel contributions and generate monthly ROI insights. Built automated ETL + lightweight data warehouse; segmented users by experience, title, stability; achieved 95%+ accuracy in user profiling.

Marketing Analytics Intern at Castlery

July 1, 2025 - January 1, 2026

Designed a category-level budget allocation framework to optimize marketing spend efficiency. Applied Robyn MMM to evaluate channel contributions and generate monthly ROI insights. Built automated analytics pipelines (BigQuery, Redshift, GA, Python) to streamline reporting. Analyzed cart-abandonment data to identify anomalies and inform user-journey improvements. Redesigned budget models to align with the new marketing cost structure at the SPU level.