--amend

resume.tex

@@ -46,7 +46,7 @@ \subsection*{University of California, Los Angeles{\normalfont, \textit{Los Ange
 	\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, Algorithms, etc.
+    \item[Tools] PyTorch, TensorFlow, scikit-learn, GitHub, Pandas, PySpark, Distributed Systems, MapReduce, Algorithms, etc.
 \end{compactdesc}
 
 \vspace{0.1in}
@@ -107,7 +107,7 @@ \subsection*{Title: Data Mining on the Yelp Dataset \hfill {\normalfont January
 \noindent
 Goal: To implement algorithms and build recommendation systems on a large dataset.
 \begin{compactitem}
-	\item 12 files and 100-350 lines of code
+	\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 Community detection based on GraphFrames and based on Girvan-Newman Algorithm on an RDD level
 \end{compactitem}
@@ -119,7 +119,7 @@ \subsection*{Title: The Influence of Pre- \& Post-processing on Document Summari
 \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
-    \item Slight improvement in R-1 score (15\%) and substantially improved R-2 scores (53\%) for certain datasets
+    \item Slight improvement in Rouge-1 score (15\%) and substantially improved Rouge-2 scores (53\%) for certain datasets
 %    \item Formulated team's workflow by using GitHub actions and branching
 \end{compactitem}
 %\vspace{0.1in}