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page1sidebar.tex
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\cvsection{SKILLS}
\begin{itemize}
\item\bf{Development \& Machine Learning}\normalfont{: Python}
%\divider
\item\bf{Analytics \& Visualisation Tools}\normalfont{: R - Language, MS-Excel, Google Analytics}
%\divider
\item\bf{Database Languages}\normalfont{: MySQL, MongoDB}
%\divider
\item\bf{Tools \& Frameworks}\normalfont{: Git, Nginx, Supervisord}
%\dvider
\end{itemize}
% \divider
% \cvachievement{\faTrophy}{}{Received accolades at Atos for Best Performance in team.}
% \cvachievement{\faTrophy}{}{Received Best Debut Award at Atos. }
% %\divider
% \cvachievement{\faInstitution}{}{Won 2nd Consolation Prize for paper presented on Cognitive Radio Networks.}
% %\divider
% \cvachievement{\faGraduationCap}{}{Got Selected in "Exclusive Scholar Program" during undergrad.}
% %\divider
% \cvachievement{\faDollar}{}{Awarded with Narotam Sekhsaria Foundation Scholarship}
%\cvsection{Strengths}
%\cvtag{Hard-working (18/24)}
%\cvtag{Persuasive}
%\cvtag{Motivator \& Leader}
%\divider\smallskip
%\cvtag{UX}
%\cvtag{Mobile Devices \& Applications}
%\cvtag{Product Management \& Marketing}
\cvsection{TECHNICAL PROFILES}
\begin{itemize}
\item\bf{Rasa Community | Chatbot :}\normalfont\newline{@abhishakskilrock -- Rank: 15/2992}
%\divider
\item\bf{Kaggle | Data Science :}\normalfont\newline{@abhishakvarshney -- Rank: Top 25\%}
%\divider
\item\bf{HackerRank | Programming :}\normalfont\newline{@abhishakvarshney}
%\dvider
\end{itemize}
%\divider
%\cvevent{B.S.\ in Symbolic Systems}{Stanford University}{Sept 1993 -- June 1997}{}
\cvsection{Projects}
\cvproject{Stanford Open Policing Project- California}
\begin{itemize}
\item Prediction of traffic stop rates, their times’ and places that reliably generate stops.
\item\bf{Technology}{: Time-Series Analysis | ARIMA Model | R Language}
\end{itemize}
\smallskip
\cvproject{Housing Price Prediction}
\begin{itemize}
\item Prediction of Sale Price of Houses in USA based on various features.
\item\bf{Technology}{: Random Forest | R Language}
\end{itemize}
\smallskip
\cvproject{Twitter Text Mining}
\begin{itemize}
\item Extract data from twitter and Predict the sentiments of four pharma companies: Bayer, Pfizer, Roche and Novartis.
\item\bf{Technology}{: Naive Bayes Theorem | R Language}
\end{itemize}
\smallskip
\cvproject{Image Processing: Object Detection}
\begin{itemize}
\item A Python based application which can detect different objects. Detected racoon, horses, dogs and cat in various images and videos using trained data/images.
\item\bf{Technology}{: CNN, YOLO | Python - Tensorflow, Keras, OpenCV}
\end{itemize}
\smallskip
\cvproject{Linux Path Traversal}
\begin{itemize}
\item Created virtual linux terminal that can execute various commands: md, cd, cd.., ls, pwd, dir, rm, cp, mv, session\_clean.
\item\bf{Technology}{: Python}
\end{itemize}
\smallskip
\cvsection{Hobbies}
Skating | Travelling