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update resume
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Anthonyive committed Nov 22, 2022
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\documentclass[11pt]{article}

Expand All @@ -8,10 +32,10 @@
\newcommand\HUGE{\fontsize{26}{39}\selectfont}
\fancyhead[C]{
% Title name
\textbf{\HUGE Yuchen Zhang} \\
\textbf{\HUGE{Yuchen Zhang}} \\
\vspace{0.05in}
% Email
\href{mailto:[email protected]}{[email protected]} |
\href{mailto:[email protected]}{[email protected]} |
% Phone
\href{tel:13238688380}{(323) 868-8380} \\
% Personal website (disabled for now)
Expand All @@ -23,35 +47,18 @@
}

\begin{document}
\myHeading{EDUCATION}
\subsection*{University of Southern California{\normalfont, \textit{Los Angeles, CA} \hfill May 2022}}
\noindent
Master of Science, Applied Data Science
\hfill
CGPA: 3.78/4.0

%\vspace{0.1in}

\subsection*{University of California, Los Angeles{\normalfont, \textit{Los Angeles, CA} \hfill August 2020}}
\noindent
Bachelor of Science, Applied Mathematics with a minor in Statistics
\hfill
CGPA: 3.86/4.0

\vspace{0.1in}

\myHeading{SKILLS}
\vspace{0.05in}
\begin{compactdesc}
\item[Topics] Natural Language Processing (NLP), Machine Learning, Data Mining/Big Data, Data Science, Statistics
\item[Programming Languages] 3+ years: Python | Basic knowledge: Java, R, C\texttt{++}, Bash, etc.
\item[Database Management] SQLite, MySQL, MongoDB, Amazon DynamoDB, Firebase, Hadoop HDFS
\item[Tools] PyTorch, TensorFlow, scikit-learn, GitHub, Pandas, PySpark, Distributed Systems, MapReduce, Algorithms, etc.
\end{compactdesc}

\vspace{0.1in}

%% WORK EXPERIENCE %%
\myHeading{WORK EXPERIENCE}
\subsection*{CAD Software Developer Engineer{\normalfont, Qualcomm Technologies, Inc.,
\textit{CA} \hfill
July 2022-Present}}
\begin{compactitem}
\item Revitalizing verification tools for VLSI front end design
\item Developing automation scripts for generating SystemVerilog files
\item Conceptualizing documentation generation tools for Engineers
\end{compactitem}

\subsection*{Student Worker{\normalfont, USC Institute for Creative
Technologies,
\textit{CA} \hfill
Expand Down Expand Up @@ -80,14 +87,14 @@ \subsection*{Course Producer{\normalfont, USC Viterbi School of Engineering,
\end{compactitem}
%\vspace{0.1in}

\subsection*{Research Internship{\normalfont, CarmaCam, \textit{Remote} \hfill May 2021-August 2021}}
\begin{compactitem}
\item Upgraded the existing Machine Learning Scoring website with a new UI using Django and Celery
% \item Re-designed the CarmaCam web app using Parallel Agile\textregistered\xspace CodeBot\textregistered
% \item Aggregated API calls and integrated the website with Node.JS
\item Migrated the database of the ML scoring website from SQLite to MongoDB
\item Improved the database schema of CodeBot using EA Architect
\end{compactitem}
% \subsection*{Research Internship{\normalfont, CarmaCam, \textit{Remote} \hfill May 2021-August 2021}}
% \begin{compactitem}
% \item Upgraded the existing Machine Learning Scoring website with a new UI using Django and Celery
% % \item Re-designed the CarmaCam web app using Parallel Agile\textregistered\xspace CodeBot\textregistered
% % \item Aggregated API calls and integrated the website with Node.JS
% \item Migrated the database of the ML scoring website from SQLite to MongoDB
% \item Improved the database schema of CodeBot using EA Architect
% \end{compactitem}
%\vspace{0.1in}

%\subsection*{Emergency Data Relief Internship (QA track){\normalfont, BroadStreet.io, \textit{Remote} \hfill September 2020-December 2020}}
Expand All @@ -102,20 +109,23 @@ \subsection*{Research Internship{\normalfont, CarmaCam, \textit{Remote} \hfill M

\vspace{0.1in}

%% ACADEMIC PROJECTS %%
\myHeading{ACADEMIC PROJECTS}
\subsection*{Title: Data Mining on the Yelp Dataset \hfill {\normalfont January 2022-April 2022}}
\subsection*{Data Mining on the Yelp Dataset \hfill {\normalfont{January 2022-April 2022}}}
\noindent
Goal: To implement algorithms and build recommendation systems on a large dataset.
Goal: To implement algorithms and build recommendation systems on a large dataset
\begin{compactitem}
\item 200k+ reviews. Code containing 12 files totaling around 1800 LOC (lines of code) using PySpark and MapReduce
\item Implemented Locality Sensitive Hashing, and different types of collaborative-filtering recommendation systems: Item-based CF, Model-based CF, and Hybrid recommendation system. Fine-tuned Model-based CF with XGBoostRegressor
\item Implemented Locality Sensitive Hashing, and different types of collaborative-filtering recommendation systems: Item-based CF, Model-based CF, and Hybrid recommendation system.
\item Fine-tuned Model-based CF with XGBoostRegressor
\item Community detection based on GraphFrames and based on Girvan-Newman Algorithm on an RDD level
\end{compactitem}

\subsection*{Title: The Influence of Pre- \& Post-processing on Document Summarization \hfill {\normalfont August
2021-December 2021}}
\subsection*{The Influence of Pre- \& Post-processing on Document Summarization \hfill {\normalfont{August
2021-December 2021}}}
\noindent
\href{https://github.com/Anthonyive/csci-544-project.git}{\faIcon{github}} \href{https://www.youtube.com/watch?v=oVIVtOPeWEs}{\faIcon{youtube}} \href{https://arxiv.org/abs/2112.01660}{\textbf{arXiv}} Goal: To improve the existing long document summarization model's performance.
% \href{https://github.com/Anthonyive/csci-544-project.git}{\faIcon{github}} \href{https://www.youtube.com/watch?v=oVIVtOPeWEs}{\faIcon{youtube}} \href{https://arxiv.org/abs/2112.01660}{\textbf{arXiv}}
Goal: To improve existing long document summarization models' performance\hfill\textit{arXiv}: \href{https://arxiv.org/abs/2112.01660}{https://arxiv.org/abs/2112.01660}
\begin{compactitem}
\item Implemented extractive-based baseline (e.g. TextRank) and Google's T5 text-to-text transformer model
% \item Inspired team members to implement GPT-3 and XLNet models
Expand All @@ -124,14 +134,15 @@ \subsection*{Title: The Influence of Pre- \& Post-processing on Document Summari
\end{compactitem}
%\vspace{0.1in}

\subsection*{Title: Mapping Uncanny Valley \hfill {\normalfont September
2020-May 2021}}
\subsection*{Mapping Uncanny Valley \hfill {\normalfont{September
2020-September 2022}}}
\noindent
\href{https://github.com/Anthonyive/Research-Mapping-Uncanny-Valley.git}{\faIcon{github}} Goal: To help answer what makes text creepy.
% \href{https://github.com/Anthonyive/Research-Mapping-Uncanny-Valley.git}{\faIcon{github}}
Goal: To help answer what makes text creepy\hfill \textit{arXiv}: \href{https://arxiv.org/abs/2211.05369}{https://arxiv.org/abs/2211.05369}
\begin{compactitem}
\item Best Project Achievement Award and Best Data Science Open and
\item Received Best Project Achievement Award and Best Data Science Open and
Sharing Practices Award
\item Best Cyberphysical Data Science Team Award for a team of six people
\item Received Best Cyberphysical Data Science Team Award for a team of six people
in DataFest Fall 2020
\item Conducted DNN/RNN model with accuracy up to 96\% and implemented
multiple NLP techniques
Expand All @@ -141,9 +152,10 @@ \subsection*{Title: Mapping Uncanny Valley \hfill {\normalfont September
\end{compactitem}
%\vspace{0.1in}

\subsection*{Title: Walmart Product Search \hfill {\normalfont January 2021-May 2021}}
\subsection*{Walmart Product Search \hfill {\normalfont{January 2021-May 2021}}}
\noindent
\href{https://github.com/Anthonyive/DSCI-551-Project.git}{\faIcon{github}} Goal: To build a full-stack Walmart product search UI.
% \href{https://github.com/Anthonyive/DSCI-551-Project.git}{\faIcon{github}}
Goal: To build a full-stack Walmart product search UI
\begin{compactitem}
\item Leveraged MongoDB as a backend to store 6000 paginated pages from Walmart
Affiliate API
Expand Down Expand Up @@ -177,4 +189,31 @@ \subsection*{Title: Walmart Product Search \hfill {\normalfont January 2021-May
% club activities
%\end{compactitem}

\vspace{0.1in}

%% EDUCATION %%
\myHeading{EDUCATION}
\subsection*{University of Southern California{\normalfont, \textit{Los Angeles, CA} \hfill May 2022}}
\noindent
Master of Science, Applied Data Science
% \hfill
% CGPA\@ 3.78/4.0

\subsection*{University of California, Los Angeles{\normalfont, \textit{Los Angeles, CA} \hfill August 2020}}
\noindent
Bachelor of Science, Applied Mathematics with a minor in Statistics
% \hfill
% CGPA\@ 3.86/4.0

\vspace{0.1in}

%% SKILLS %%
\myHeading{SKILLS}
\vspace{0.05in}
\begin{compactdesc}
\item[Topics] Software Development, Natural Language Processing (NLP), Machine Learning, Data Science, Statistics
\item[Programming Languages] Strong knowledge: Python | Basic knowledge: Perl, Java, R, C\texttt{++}, Bash, etc.
\item[Database Management] SQLite, MySQL, MongoDB, Amazon DynamoDB, Firebase, Hadoop HDFS
\item[Tools] PyTorch, TensorFlow, scikit-learn, GitHub, Pandas, PySpark, Distributed Systems, MapReduce, Algorithms, etc.
\end{compactdesc}
\end{document}

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