Kanika Jindal's Resume. Created with the Deedy CV template
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\namesection{Kanika}{Jindal}{ \urlstyle{same} jindalkanika02@gmail.com\\
\ kanika.jindal@soprasteria.com | +91-8860747609 | \\
\ Delhi, India
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\section{Education}
\subsection{Guru Gobind Singh}
INDRAPRASTHA UNIVERSITY \\
\descript{B.Tech in Computer Science}
\location{2015 - 2019 | Delhi, India}
Northern India Engineering College \\
\location{ CGPA: 8.9/10.0}
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\subsection{Lovely Public Sr. Sec. School}
\location{Grad. May 2015 | Delhi, India}
\location{XII : 92.4/100.0}
\location{X: 10.0/10.0}
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\section{Links}
Instagram:// \href{https://www.instagram.com/jindal_kanika/}{\bf jindalkanika} \\
Github:// \href{https://github.com/kanika2010}{\bf kanikajindal} \\
LinkedIn:// \href{https://www.linkedin.com/in/kanikajindal02}{\bf kanikajindal02} \\
YouTube:// \href{https://www.youtube.com/channel/UCR1bgsuXHmXWDXJlua1mK4Q}{\bf KanikaJindal} \\
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\section{Coursework}
\subsection{Extra-Curricular}
\href{https://www.coursera.org/account/accomplishments/verify/SRPYRSVP392D} {\bf Structuring Machine learning projects} \\
\href{https://www.coursera.org/account/accomplishments/verify/DSPSAGFEGCA6} {\bf Improving deep neural networks}\\
\href{https://www.coursera.org/account/accomplishments/records/YWGG9ZWYPDB9} {\bf Neural Networks and Deep Learning}\\
\href{https://www.coursera.org/account/accomplishments/records/WMS8JANULNK9} {\bf Machine Learning} \\
\href{https://nptel.ac.in/noc/social_cert/noc18-cs21/NPTEL18CS21S46801461810053774.jpg} {\bf Data Structures using Python}\\
\href{https://www.datacamp.com/statement-of-accomplishment/course/038f547d0b89c05c19df42421a8189ba69dcf7d7} {\bf Python for Data Science}\\
\href{https://www.datacamp.com/statement-of-accomplishment/course/e4e82a00018681ee2ed119a03e070881ce8c718b} {\bf Introduction to Python}\\
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\subsection{Undergraduate}
Machine Learning \\
Operating Systems \\
Artificial Intelligence + Practicum \\
Functional Programming \\
Computer Graphics + Practicum \\
Web development + Practicum
Software Engineering \\
Data Structures \\
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\section{Skills}
\subsection{Programming}
\location{Over 5000 lines:}
Python \textbullet{} Octave \textbullet{} C \textbullet{} C++\\
\location{Over 1000 lines:}
Java \textbullet{} Flask \textbullet{} HTML \textbullet{} CSS \textbullet{} R\\
\location{Familiar:}
Azure\textbullet{} Angular \textbullet{} Spring \textbullet{} Hibernate \textbullet{} MySQL
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\section{Experience}
\runsubsection{Sopra Steria}
\descript{| Software Engineer }
\location{Aug 2019 - Present | Noida, India}
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\runsubsection{Cypherhock}
\descript{| Software Developer Intern }
\location{Jan 2019| Delhi, India}
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\item Led and shipped machine learning solution - based on convolution neural network
\item Software developer - Wrote and reviewed code using Python
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\runsubsection{EzySchooling}
\descript{| Software Developer Intern }
\location{July 2018 | Delhi ,India}
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\item Worked on the Handwriting recognition dataset, in Python to plan, to design and develop the full stack to add and edit Automatic Handwriting Recognition from forms filled by parents in schools.
\item Created an application for the Photo Scanner and recognition of handwritten text.
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\runsubsection{AAP (State Government)}
\descript{| Policy Research Intern \& Data Analytics}
\location{Mar 2018 – May 2018 | Delhi ,India}
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\item 20 out of 500 applicants chosen to be a fellow at AAP.
\item Research about various policies of govt. and provided statistics of their performance.
\item I created an application for analysis of rape cases happening in and out of town, to provide charts about cases solved and pending, using R script.
\item Led a team from various sectors such as literature, development, politics etc for the research and project.
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\section{Research}
\runsubsection{Cornell Robot Learning Lab}
\descript{| Researcher}
\location{Jan 2014 – Jan 2015 | Ithaca, NY}
Worked with \textbf{\href{http://www.cs.cornell.edu/~ashesh/}{Ashesh Jain}} and \textbf{\href{http://www.cs.cornell.edu/~asaxena/}{Prof Ashutosh Saxena}} to create \textbf{PlanIt}, a tool which learns from large scale user preference feedback to plan robot trajectories in human environments.
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\runsubsection{Cornell Phonetics Lab}
\descript{| Head Undergraduate Researcher}
\location{Mar 2012 – May 2013 | Ithaca, NY}
Led the development of \textbf{QuickTongue}, the first ever breakthrough tongue-controlled game with \textbf{\href{http://conf.ling.cornell.edu/~tilsen/}{Prof Sam Tilsen}} to aid in Linguistics research.
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\section{Awards}
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2014 & top 52/2500 & KPCB Engineering Fellow\\
2014 & 1\textsuperscript{st}/50 & Microsoft Coding Competition, Cornell\\
2013 & National & Jump Trading Challenge Finalist\\
2013 & 7\textsuperscript{th}/120 & CS 3410 Cache Race Bot Tournament \\
2012 & 2\textsuperscript{nd}/150 & CS 3110 Biannual Intra-Class Bot Tournament \\
2011 & National & Indian National Mathematics Olympiad (INMO) Finalist \\
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\section{Publications}
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