Brian Che

Hi, I'm Brian

About Me

I’m currently an Analytics Engineer at Toho International, a subsidiary of Toho Co., the legendary entertainment company behind Godzilla, My Hero Academia, Jujutsu Kaisen, Spy x Family, and more. Spearheading data warehousing and analytics for our two brands, Godzilla and TOHO animation Store US, I support digital marketing and merchandising strategy for fandom-driven e-commerce across legacy and active IP, as well as major theatrical and series launches.

Previously at D.Luxury Brands, I worked as a Data Analyst on the BI & Analytics Team, where I played a multifaceted role in driving the agency's internal data processes and executable insights to DTC e-commerce brands. Working with data spanning +20 brands ranging from startups looking to scale to market-leading companies like Nest New York and Good American, I supported ELT pipelines of platform data including Shopify, Google Analytics 4, Meta Ads, and more for performance reporting and dashboards. Additionally, I leveraged advanced analytical techniques including cluster modeling to identify customer segments and regression modeling of channel ad spend impact for targeted marketing initiatives.

As a former Data Scientist Fellow for Appfolio, Inc. I built machine learning models to detect anomalous transactions in the Property Management software, leveraging unsupervised learning techniques over transaction history data. With property managers using the cloud software for accounting (invoices, bills, checks, etc.), our project aimed to implement automated anomaly detection features to enable early intervention and risk mitigation measures.

My background includes a Statistics & Data Science B.S. with an Applied Psychology minor and Technology Management certification from UC Santa Barbara, where I served as a Director on the board of the Data Science Club for 3 years.

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Last Updated: 12/27/2025

Work Experience

Toho International — Los Angeles, CA

Analytics Engineer ( February 2025 - Present )

Architected and maintained a centralized BigQuery data warehouse using dbt, modeling Shopify e-commerce and multi-channel paid media (Meta, Google, TikTok, etc) data into a unified multi-brand analytics layer for Godzilla and TOHO Animation Store

Developed and automated Looker dashboards and Google Sheets reports for sales, traffic, and paid media performance, enabling consistent KPI definitions for U.S. teams and reporting visibility to global teams (Japan, Singapore, etc)

Built reusable internal workflow tools using Python, BigQuery, and Google Sheets, converting manual workflows into standardized, scalable systems adopted across marketing and buyer teams (e.g., assortment planner, budget forecast model)

Conducted deep-dive analyses on major product launches and campaigns (e.g., Godzilla Minus One BluRay, Anime Expo POS sales), uncovering customer behavior and funnel insights that informed CRO initiatives, retention flows, bundling strategies, and cross-channel planning

Owned the e-commerce analytics roadmap, planning and prioritizing the rollout of analytics updates and developing advanced analyses such as LTV by product attribute and weekly inventory projections, shaping marketing and retention strategies by identifying high-value customer segments and optimizing channel investments

D. LUXURY BRANDS — Los Angeles, CA

Data Analyst ( October 2023 - February 2025 )

Identified customer segments and personas to drive targeted marketing initiatives through K-means clustering modeling in Python on customer survey data after applying dimension reduction with Principal Component Analysis (PCA)

Developed linear regression models in Python to analyze the impact of ad spend across various channels, such as Google Ads and Meta Ads, on client Web and Amazon sales to identify significant channel campaign types for strategic recommendations

Wrote SQL queries for integration of client custom Order Management System (OMS) data into Google BigQuery data warehouse, conducting data cleaning and transformation of sales, product, and customer data for analytics use cases

Implemented pipelines for programmatic, affiliate, and attribution platforms to support automated paid media performance reporting and dashboards for Looker/Tableau

Supported analytics and insights of data-driven audit decks for +20 e-commerce brands, including high-grossing brands like NEST Fragrance and Good American, encompassing analysis of revenue, LTV, product, and paid media performance

Appfolio, Inc. — Goleta, CA

Data Scientist Fellow ( January 2023 - June 2023 )

Built outlier detection models in Python using unsupervised learning models including Isolation Forest, Local Outlier Factor, and Support Vector Machine to identify anomalous financial transactions from the Appfolio Property Manager software.

Achieved precision of 75%, recall of 73%, and accuracy of 74% in detecting outliers through data cleaning, normalization, feature engineering, and hyperparameter tuning on 500,000+ clients' transaction data.

Developed scripts for artificial outlier injection into unlabeled dataset to assess model performance through generating IQR-defined values and groupings

UCSB L&S IT Collaborate Student Support Center — Santa Barbara, CA

Operations Coordinator | Benchmarks Project Lead ( March 2022 - April 2023 )

Managed and trained team of +20 Technical Support Consultants for on-site assistance over 19 computer labs and 183 Collaborate-supported classrooms

Provided software support for quarterly +100 tickets and phone calls using SaaS CRM platform Zendesk

Implemented digital benchmark system to assess technical consultants quarterly and overall enhanced technical competency by 16%

Technical Support Consultant ( September 2021 - March 2022 )

Provided technical support for both hardware and software issues to students, visitors, and faculty members

Maintained computer labs for public usage and responded to departmental calls across campus labs and classrooms

Data Science UCSB Club — Santa Barbara, CA

Director of Finance ( April 2021 - June 2023 )

Managed financial accounts, overseeing budgeting, financial planning, and expense tracking while ensuring fiscal responsibility and alignment of club and community-focused objectives

Mentored students and assisted Intermediate Pipeline Director in teaching data science foundations through project-based learning and skill development, including areas such as SQL, Python, and Machine Learning

Coordinated career-oriented events including Career Fairs, Alumni Panels, and industry expert workshops, partnering with companies such as Amazon and Microsoft

Finance & Operations Officer ( March 2020 - April 2021 )

Supported budgeting, fundraising, and coordination with university administrators and company sponsors for events and funding

Developed club website using HTML, Markdown, and Git and spearheaded club blog page for marketing efforts