Abhinav Jaiswal's CV

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Autor
Abhinav Jaiswal
Letzte Aktualisierung
vor 4 Jahren
Lizenz
Creative Commons CC BY 4.0
Abstrakt
Abhinav Jaiswal's CV. Created using the AltaCV template.
Stichworte
Résumé / CV
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% This is an sample CV template created using altacv.cls
% (v1.1.4, 27 July 2018) written by LianTze Lim (liantze@gmail.com). Now compiles with pdfLaTeX, XeLaTeX and LuaLaTeX.
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\begin{document}

\name{Abhinav Jaiswal}
\tagline{Indian Institute of Information Technology,Gwalior-474015}
% \photo{2.8cm}{Globe_High}
\personalinfo{%
  % Not all of these are required!
  % You can add your own with \printinfo{symbol}{detail}
  \email{abhinavjaiswal0144@gmail.com}
  \phone{(+91) 8959063666}
%  \mailaddress{Address, Street, 00000 County}
%  \location{Gwalior, India}
%  \homepage{abhinavj004.github.io}
%  \twitter{@marissamayer}
  \linkedin{linkedin.com/in/abhinav-jaiswal-638045141}
  \newline
   \github{github.com/abhinavj004} % I'm just making this up though.
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\cvsection[page1sidebar]{Experience}

\cvevent{Web Development Training}{Internshala}{August 2017 -- October 2017}{Gwalior}
\begin{itemize}
\item Developed a fully functional regular,responsive e-commerce website.  
\item Technology used for backend:PHP,MySql.
\item Technology used for frontend:HTML,CSS,Bootstrap,Jquery,Javascript.
\end{itemize}
\divider
\medskip
\cvevent{Python Development Intern}{Softnerve Technology Private Limited}{December 2018 }{Gwalior,M.P}
\begin{itemize}
\item Work as a python developer intern to develop python modules for machine learning algorithms. 
\end{itemize}



\cvsection{Projects}

\cvevent{CaptionBot-Image-Caption-Generator}{Self-Learning Project}{October 2018 -- December 2018}{}
\begin{itemize}
\item Deep Learning + NLP based bot which generate captions from the image.
\item Used VGG model for image encoder and LSTM for training.
\item Evaluating the captions using BLEU scores as the metric.

\end{itemize}
\medskip
\divider

\cvevent{Movie Recommendation System}{Self-Learning Project}{December 2018 -- January 2019}{}
\begin{itemize}
    \item Develop a Recommendation system which shows three kinds of recommendations based on the popularity of the genre,content based filtering and collaborative filtering.
\end{itemize}
\divider
\medskip

\cvevent{Sentiment Analysis of Twitter Dataset }{Exploratory Project}{October 2018 -- November 2018}{}
\begin{itemize}
    \item Two methods were adopted for building the classifer.In the first,words are vectorized using frequency count and RNN was used.
    \item In the second approach these word vectors were given weights according to POS polarity and Naive Bayesian Classifier was used.
\end{itemize}
\divider
%\medskip
\cvevent{Spam Classification Application }{Exploratory Project}{January 2019 }{}
\begin{itemize}
    \item Develop a Machine Learning based application with Flask and use it to predict and detect youtube spam comments.

    
\end{itemize}
\medskip
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