Minor cleanup

resume.tex

@@ -120,7 +120,7 @@ Designation: & \textit{Intern} \\
 %==== Skills ====%
 \header{Skills}
 \vspace{1mm}
-{\renewcommand{\arraystretch}{1.5}%
+{\renewcommand{\arraystretch}{1.5}}
 \begin{tabularx}{\textwidth}{ | X | X | }
   \hline
 	Programming Languages & Java, Bash, Python, Nix        \\
@@ -141,7 +141,7 @@ Designation: & \textit{Intern} \\
 {\textbf{Sarcasm Detection using Machine Learning}} \hfill Jan 2019 - Jun-2019\\
 \textit{Python, Pytorch, SpaCy, sklearn, Pandas, Numpy} \\
 \begin{itemize}
-    \item Detect sarcasm in textual communication by understanding content as well as context of the particular comment as well as past record of the person making the comment to include known sarcastic comments.\\
+   \item Detect sarcasm in textual communication by understanding content as well as context of the particular comment as well as past record of the person making the comment to include known sarcastic comments.\\
   \item Reddit comment database was cleaned and analyzed to generate profile for authors for their propensity to be sarcastic. Multiple paramters were used to determine whether a comment can be sarcastic or not, including, but not limited to specific words being used, comment popularity, topic of discussion, sentiment analysis etc.
   \item Python was used as primary development language for mature Machine Learning echosystem, for data cleaning, model construction, training and evaluation. Bash and other GNU tools were used for preliminary data analysis and cleaning.
 \end{itemize}
@@ -181,7 +181,7 @@ Technologies: Embedded C, Linux, Assembly\\
 %==== Education ====%
 \header{Education}
 \vspace{1mm}
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+{\renewcommand{\arraystretch}{1.2}}
 \begin{tabularx}{\textwidth}{ | X | c | }
   \hline