Updates for CSGF study

Author: sc932

ScottClarkResume.pdf

@@ -85,7 +85,7 @@
 \item
 	\ressubheading{Oregon State University}{Corvallis, OR}{B.Sc. Mathematics, B.Sc. Computational Physics, B.Sc. Physics}{2004 - 2008}
 	\begin{itemize}
-		\resitem{Graduated Magna Cum Laude with minors in Actuarial Sciences and Mathematical Sciences}
+    \resitem{Graduated Magna Cum Laude with three Bachelors of Science degrees in four years}
 	\end{itemize}
 
 \end{itemize}
@@ -99,17 +99,19 @@
 \begin{itemize}
 
 \item
-	\ressubheading{SigOpt Inc - https://sigopt.com}{San Francisco, CA}{Co-founder and CEO}{November 2014 - current}
+	\ressubheading{SigOpt Inc}{San Francisco, CA}{Co-founder and CEO}{November 2014 - current}
 	\begin{itemize}
       \resitem{Helping lead a world class team to eliminate expensive trial and error from every experts workflow. Using cutting edge optimization behind a simple API to help tune machine learning models and build better products in a variety of fields.}
+      \resitem{Raised over \$8.8M in angel, seed, and Series A VC rounds led by Andreessen Horowitz (a16z) and YCombinator (YC W15). Additional investors include SV Angel, Data Collective (DCVC), Blumberg Capital, Stanford University, and others.}
+      \resitem{Presented SigOpt to many thousands of experts and executives in many fields through hundreds of briefings and high profile conferences around the world.}
 	\end{itemize}
 
 \item
 	\ressubheading{Yelp Inc}{San Francisco, CA}{Data Mining Engineer and Lead on Ad Targeting Team}{July 2012 - December 2014}
 	\begin{itemize}
-            \resitem{{\bf Optimization:} Co-developed and led team for MOE: the Metric Optimization Engine (\texttt{github.com/Yelp/MOE}, an \textbf{open source} optimization framework), found significant gains in different metrics across the organization using Bayesian Global Optimization algorithms.}
-            \resitem{{\bf Targeting:} Implemented multi-armed bandit strategies for ad selection, sole targeting engineer on mobile app ads rollout, developed new location-based targeting algorithms, advised and helped develop other machine learning and math based targeting projects.}
-            \resitem{{\bf Recruiting:} Created, implemented, and directed \texttt{yelp.com/dataset\_challenge}, gave tech talks across the country, led events, gave hundreds of technical interviews, closed candidates.}
+            \resitem{Co-developed and led team for MOE: the Metric Optimization Engine (\texttt{github.com/Yelp/MOE}, an \textbf{open source} optimization framework), found significant gains in different metrics across the organization using Bayesian Global Optimization algorithms.}
+            \resitem{Implemented multi-armed bandit strategies for ad selection, sole targeting engineer on mobile app ads rollout, developed new location-based targeting algorithms, advised and helped develop other machine learning and math based targeting projects.}
+            \resitem{Created, implemented, and directed \texttt{yelp.com/dataset\_challenge}, gave tech talks across the country, led events, gave hundreds of technical interviews, closed candidates.}
 	\end{itemize}
 
 \item
@@ -180,34 +182,4 @@
 
 \end{itemize}
 
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-
-\resheading{Selected Open Source Projects}
-
-%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
-
-\begin{itemize}
-
-\item
-    \ressubheading{SigOpt Examples (\texttt{github.com/sigopt/sigopt-examples})}{Python}{Examples of using SigOpt to tune ML algorithms.}{2014 - current}
-    \begin{itemize}
-        \resitem{Examples of using SigOpt to tune everything from sklearn to beating Vegas and beyond.}
-	\end{itemize}
-
-\item
-    \ressubheading{MOE: Metric Optimization Engine (\texttt{github.com/Yelp/MOE})}{Python, C++, CUDA}{A global, black box optimization engine for real world metric optimization}{2010 - 2015}
-    \begin{itemize}
-        \resitem{Implemented throughout Yelp, optimizing ad metrics. 2nd most popular open source project.}
-        \resitem{Talk: \texttt{bit.ly/1plYZA2}, Slides: \texttt{slidesha.re/1zOrOJy}, Blog: \texttt{bit.ly/1x73xdr}}
-        \resitem{Presented to executives, universities, conferences and companies around the country.}
-	\end{itemize}
-
-\item
-    \ressubheading{ALE: Assembly Likelihood Estimator (\texttt{github.com/sc932/ALE})}{C, Python}{Probabilistic evaluation of genome assemblies}{2010 - 2013}
-    \begin{itemize}
-        \resitem{Uses statistical function to score and rank genome assemblies, published in Bioinformatics}
-	\end{itemize}
-
-\end{itemize}
-
 \end{document}