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resume.tex
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resume.tex
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% PACKAGES
\documentclass{resumeclass} % Use the custom resumeclass.cls style
\usepackage[left=0.7in,top=0.4in,right=0.7in,bottom=0.5in]{geometry} % Document margins
\usepackage{hyperref}
\usepackage[T1]{fontenc}
\usepackage[utf8]{inputenc}
% DOCUMENT START
\name{Abhijit Rout}
\address{(+91)~$\cdot$~824xxxxxxx \\
\href{mailto:abhijitxxxxxxxxxx@gmail.com}{abhijitxxxxxxxxxx@gmail.com} \\
\href{https://www.github.com/oyeabhijit}{github.com/oyeabhijit} \\
\href{https://www.linkedin.com/in/oyeabhijit}{linkedin.com/in/oyeabhijit}}
\begin{document}
\title{Resume}
% EDUCATION SECTION
\begin{rSection}{Education}
% Bachelors Deatils---------------------------------
\begin{rSubsection}{Institute of Technical Education \& Research}{2018 - 2022}{B.Tech in Computer Science and Engineering~$\cdot$~CGPA 6.58}{Bhubaneswar, India}
%\vspace{-.1cm}
%Overall GPA: 78\%
\vspace{-.65cm}
\item[]
\end{rSubsection}
% Secondary School Details----------------------------
\begin{rSubsection}{O.D.M Public School}{2016 - 2018}{CBSE 12th Science~$\cdot$~Aggregate 61\%}{Bhubaneswar, India}
\end{rSubsection}
% High School Details---------------------------------
\begin{rSubsection}{O.D.M Public School}{2016}{CBSE 10th~$\cdot$~CGPA 9.0}{Bhubaneswar, India}
\end{rSubsection}
\end{rSection}
% WORK EXPERIENCE SECTION
\begin{rSection}{Internship}
\begin{rSubsection}{Gyawun Media}{04/2019 - 08/2019}{UI/UX Designer}{Srinagar, Jammu \& Kashmir}
\item Created Login page, Product Page \& Admin Panel UI keeping material theme in context
\item Helped the developer team with implementation of the UI to real-world environment
\item Created merchandise designs for Govt of Jammu \& Kashmir
\item Created reusable 3D mockup designs for efficient workflow
\end{rSubsection}
\end{rSection}
% PROJECTS
\begin{rSection}{Projects}
\begin{rSubsection}{Object Detection using YOLO Algorithm \href{https://github.com/oyeabhijit/yolo-obj-detection}{~$\cdot$~Link}}{May 2021}{}{}
\item Implemented Darknet’s YOLO Algorithm to train custom models
\item Used Tesla GPU within Google colab for faster training (28 seconds) of input data
\item Used OpenCV, Numpy, LibJpeg to mount and extract output data
\item Implemented Dense Block & DenseNet to create Convolutional Networks
\end{rSubsection}
\begin{rSubsection}{Stock Price Prediction using Facebook Prophet\href{https://github.com/oyeabhijit/stockprediction}{~$\cdot$~Link}}{April 2021}{}{}
\item Implemented Facebook’s Prophet Forecasting Procedure to train dataset
\item Trained large Historical data using forecasting techniques of Facebook Prophet
\item Predicted stock values for major companies including TESLA, APPLE. GOOGLE \& KALYAN Jewellers
\item Created user understandable graphs of the predicted model
\end{rSubsection}
\end{rSection}
% TECHNICAL SKILLS
\begin{rSection}{Technical Skills}
\begin{tabular}{ @{} >{\bfseries}l @{\hspace{6ex}} l }
Languages & Python, Java, LaTeX \\
Web skills & HTML5, CSS, JavaScript \\
Tools & Figma, Adobe Creatuve Cloud Suite, Blender, MySQL
\end{tabular}
\end{rSection}
% INTERESTS
\begin{rSection}{Interests \& Hobbies}
Astronomy~$\cdot$~Computer Vision~$\cdot$~Photogrammetry~$\cdot$~Psychology\\
3D Modeling~$\cdot$~Tech Article Writing~$\cdot$~UI Designing~$\cdot$~Pixel Art
\end{rSection}
% Additional Skills
\begin{rSection}{Additional Skills}
~$\cdot$~Hands-on experience with Adobe Photoshop, Adobe Premier Pro and Adobe XD\\
~$\cdot$~3D Product Designing and Environment Designing on Blender and Adobe Substance Painter\\
~$\cdot$~Professional level UI Designing and Wireframing\\
~$\cdot$~Language Proficiency - German (Deutsch - Fundamental)
\end{rSection}
%-----------------
\end{document}