Brian Che

Hi, I'm Brian

About Me

I’m currently a Data Analyst at Toho International, a subsidiary of Toho Co., the legendary entertainment company behind Godzilla, My Hero Academia, Jujutsu Kaisen, and more. As part of the e-commerce team, I’m spearheading data warehousing and analytics for our two brands, Godzilla and TOHO animation Store, optimizing e-commerce operations through system improvements and scalable data-driven solutions.

Previously at D.Luxury Brands, I worked as a Data Analyst on the BI & Analytics Team, where I played a multifaceted role in driving our agency's internal data processes and executable insights to our e-commerce clients. Working with data spanning across 20+ brands ranging from startups looking to scale to market-leading companies, I supported automated pipelines for performance reporting/dashboards and orchestrated ELT processes for platform data, such as Shopify, Google Analytics 4, Meta Ads, and more. 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: 8/26/2025

Work Experience

Toho International — Century City, CA

Data Analyst ( February 2025 - Present )

Architected and launched a centralized data warehouse in BigQuery for two brands (Godzilla and TOHO animation Store) with scalable ETL pipelines from Shopify and multi-channel paid media (Meta Ads, Google Ads, TikTok Ads, Reddit Ads), establishing a repeatable multi-brand and regional framework that supports unified reporting and advanced analytics

Developed automated reports and dashboards in Looker and Google Sheets, including sales, traffic, and paid media performance dashboards that drove internal decision-making across U.S. and global teams (Japan and Singapore)

Created internal analytics tools (e.g., assortment planning workflow, UTM builder, budget forecast model) by transitioning manual processes into scalable Python + BigQuery solutions, establishing standardized workflows and clean data practices for downstream analytics and adoption by stakeholders

Delivered deep-dive analyses on key launches and campaigns (e.g., Godzilla Minus One BluRay, Anime Expo POS sales), uncovering customer behavior and funnel insights that informed CRO strategy, retention flows, bundling opportunities, and cross-channel campaign design

Defined the e-commerce analytics roadmap and delivered recurring monthly performance decks, providing senior leadership and stakeholders with clear visibility into revenue, attributed marketing, and customer trends

D. LUXURY BRANDS — Culver City, CA

Data Analyst ( October 2023 - February 2025 )

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, conducting extensive data cleaning and manipulation processes of sales, product, and customer data to support reporting and analytics use cases

Built data-driven audit decks for +23 e-commerce brands, including high-grossing brands like NEST Fragrance and Good American, encompassing analysis of revenue health, customer LTV, product performance, and paid media performance

Implemented custom automated query for analysis of core product lines to enhance existing reporting and streamline evaluation of key metrics of sales performance and advertising effectiveness

Designed and implemented data models for attribution platforms like Triple Whale and affiliate platforms like UpPromote to support automated pipeline for paid media performance reports and Looker/Tableau dashboards

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