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\textbf{\LARGE Yi-Ting Lin}\\[0.5ex]
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\textbf{Data Analytics \& Strategy Professional}
\small{Analyst with a hybrid background in economics and data engineering. Turns messy datasets into actionable insights for growth, pricing, and operations.}
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\roottitle{EDUCATION}
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{National Taiwan University}
{Taipei, Taiwan}
{B.A. in Economics, Minor in Computer Science}
{\period{Sep}{2018}{Jun}{2022}}
{Coursework: \textit{Econometrics, Machine Learning, Optimization, Database Systems, Industrial Organization}}
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{Exchange: Erasmus University Rotterdam}
{Rotterdam, Netherlands}
{Finance \& Data-Driven Decision Making}
{\period{Aug}{2021}{Jan}{2022}}
{Selected Courses: \textit{Corporate Finance, Monetary Economics, New Economic Thinking}}
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\roottitle{WORK EXPERIENCE}
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{Formosa Insight Co.}
{Taipei, Taiwan}
{\textbf{\textsl{Data Analyst}}}
{\period{Jul}{2023}{Present}}
{\vspace{-2.0ex}
\begin{circlist}
\item Built automated weekly revenue dashboards in Python/Power BI; reduced reporting time by 70\%.
\item Designed pricing experiments (A/B) and improved contribution margin by 3.4\%.
\item Partnered with engineering to deploy demand forecasts (Prophet/XGBoost) with MAPE $<$ 8\%.
\end{circlist}
}
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{HarborTech Mobility}
{Kaohsiung, Taiwan}
{\textbf{\textsl{Business Analytics Intern}}}
{\period{Jun}{2022}{Aug}{2022}}
{\vspace{-2.0ex}
\begin{circlist}
\item Consolidated ERP/CRM pipelines with SQL; standardized KPIs for supply and sales.
\item Modeled delivery capacity and reduced late shipments by 12\% via shift optimization.
\end{circlist}
}
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\roottitle{PROJECT EXPERIENCE}
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{Retail Demand Forecasting in Taiwan}
{\period{Jan}{2023}{Apr}{2023}}
{Independent Project}
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\begin{circlist}
\item Forecasted SKU-level demand for convenience stores across Taipei and Taichung using ARIMA and Gradient Boosting.
\item Deployed a Streamlit app for planners; cut weekly planning time by 4 hours.
\end{circlist}
}
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{Text Mining: Customer Voice in Mandarin}
{\period{Oct}{2022}{Dec}{2022}}
{Course Project}
{\vspace{-2.0ex}
\begin{circlist}
\item Collected 50k Chinese reviews from e-commerce platforms; trained a sentiment classifier (F1=0.89).
\item Extracted key drivers (LIME/SHAP) to guide product improvements.
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}
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\roottitle{SKILLS}
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\skill{Programming}{Python, SQL, R, \LaTeX{}}
\skill{Tools}{Power BI, Tableau, Git, Excel VBA}
\skill{Methods}{Forecasting, A/B Testing, Segmentation, Optimization}
\skill{Languages}{Mandarin (Native), English (Fluent)}
\skill{Interests}{Cycling, Photography, Taiwanese cuisine}
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Location: Taipei, Taiwan
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\Letter\hspace{0.1ex} \href{mailto:wei-lin.chen@example.com}{wei-lin.chen@example.com}
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\faLinkedin\hspace{0.1ex} \href{https://www.linkedin.com/in/wei-lin-chen}{wei-lin-chen}
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\Mobilefone\hspace{0.1ex} +886 912 345 678
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