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Beyond my academic training in Economics and Statistics, I bring niche experience in AI automation and data analytics, including building AI agents that streamline scheduling, client communication, and workflow management for service businesses. I’ve developed interactive dashboards and predictive models that translate complex data into actionable insights. Through internships in audit and insurance analytics, I’ve strengthened my ability to work with large datasets and communicate findings to non-technical stakeholders.…Beyond my academic training in Economics and Statistics, I bring niche experience in AI automation and data analytics, including building AI agents that streamline scheduling, client communication, and workflow management for service businesses. I’ve developed interactive dashboards and predictive models that translate complex data into actionable insights. Through internships in audit and insurance analytics, I’ve strengthened my ability to work with large datasets and communicate findings to non-technical stakeholders.

Ming-Ju Chien

Data Scientist, AI Engineer, Project Manager, +4

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Beyond my academic training in Economics and Statistics, I bring niche experience in AI automation and data analytics, including building AI agents that streamline scheduling, client communication, and workflow management for service businesses. I’ve developed interactive dashboards and predictive models that translate complex data into actionable insights. Through internships in audit and insurance analytics, I’ve strengthened my ability to work with large datasets and communicate findings to non-technical stakeholders.…Beyond my academic training in Economics and Statistics, I bring niche experience in AI automation and data analytics, including building AI agents that streamline scheduling, client communication, and workflow management for service businesses. I’ve developed interactive dashboards and predictive models that translate complex data into actionable insights. Through internships in audit and insurance analytics, I’ve strengthened my ability to work with large datasets and communicate findings to non-technical stakeholders.

Available to hire

Beyond my academic training in Economics and Statistics, I bring niche experience in AI automation and data analytics, including building AI agents that streamline scheduling, client communication, and workflow management for service businesses. I’ve developed interactive dashboards and predictive models that translate complex data into actionable insights. Through internships in audit and insurance analytics, I’ve strengthened my ability to work with large datasets and communicate findings to non-technical stakeholders.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

Chinese

Fluent

English

Fluent

Work Experience

Sales and Business Development Intern at Sharp Stakes Inc.

February 1, 2026 - Present

Supported development of an AI-driven sports analytics platform by applying statistical concepts (probability, expected value, performance metrics) to improve registration rate, prediction quality, and user decision outcomes. Designed and maintained data collection and reporting workflows using Google Forms and Google Sheets, creating reusable templates and sponsor-specific pipelines to track user sign-ups, engagement, and conversion metrics. Conducted product and data feedback analysis, collaborating with the team to evaluate new tools and features, improve onboarding workflows, and enhance usability through prompt-engineered visual guidance.

Big Data Department Internship at TransGlobe Life Insurance Inc

August 31, 2025 - August 12, 2025

Assisted in planning and controlling the scope, progress, personnel, quality, budget, and benefits of new data technology projects for multiple departments and clients. Collaborated across departments and helped solve problems through deep machine learning and statistical analysis, identifying potential recruitment or sales opportunities via data visualization dashboards. Led and organized AI agent teams in R&D in three projects, integrating multiple AI automation processes, large language models, and multiple APIs to access data, successfully launching all of them, and reported to the Big Data Development manager.

Audit and Data Analysis Internship at PricewaterhouseCoopers (PwC)

July 31, 2025 - August 12, 2025

Examined financial statements and analyzed potential errors or misstatements through data analysis. Managed and participated in audit projects and appraisal reports for over 10 clients, including Nan Shan General Insurance Company, Franklin Templeton Investments, and Morgan Stanley. Collaborated with senior auditors to identify key audit risks and contributed to the design of substantive testing procedures, improving overall audit efficiency and quality.

Big Data Department Intern at Trans Globe Life Insurance Inc.

June 1, 2025 - August 1, 2025

Led cross-departmental AI and data projects, developed and deployed three custom AI agents that integrated machine learning models, LLMs, and APIs to automate data queries, summarization, and reporting on insurance data sets — enhancing efficiency and accuracy by 40% as reported by users. Designed and developed interactive Tableau dashboards, incorporating KPI cards, parameter controls, and geographic map pinning to visualize complex data sets and communicate insights effectively to executives. Built SQL-driven data pipelines and integrated AI workflows to preprocess, query, and transform large data sets, ensuring accurate, real-time reporting that improved recruitment, sales, and strategic planning.

Audit and Real Estate Investment Intern at PricewaterhouseCoopers (PwC)

June 1, 2025 - July 1, 2025

Supported 10+ audit engagements across financial services and real estate clients, performing risk assessments, substantive testing, and audit reporting to ensure accuracy and compliance. Analyzed $50M+ in real estate assets and liabilities using valuation and fair value testing techniques, including market comparables and discounted cash flow models, in accordance with IFRS standards. Collaborated with cross-functional audit teams and client stakeholders to document findings, strengthen internal controls, and improve financial reporting processes.