Samir Kumar is a third year undergraduate computer science student at NIT Jalandhar with a GPA of 7.4/10. His interests include machine learning, big data, data structures, and algorithms. He has achieved high ranks in programming contests including ranking 108th in CodeChef and qualifying for the first round of Facebook Hacker Cup 2016. He has also implemented projects in operating systems, data structures, machine learning algorithms, and more.

1. ​ ​SAMIR ​KUMAR
​Computer Science Undergraduate Student
contact ​Int​erests
​ ​A-445, MBH Block-A
NIT Jalandhar 144011 Machine Learning, Big Data(Hadoop), Data Structures, Algorithms.
Punjab, India.
Edu​cation
Voice:- +91-9878347121 ​Since 2013 ​B-Tech ​Student of Computer Science ​NIT Jalandhar
​samirk.13.cse@nitj.ac.in Cumulative GPA : 7.4 / 10
ksamir.samirk@gmail.com Year of Study : Third
2012 ​Class XII, ​CBSE ​K N Memo Academy
​languages Aggregate Percentage : 90.4
bilingual Hindi/English ​2010 ​Class X, ​CBSE ​Saraswati Vidya Mandir
Cumulative Grade : 9.8 / 10
citizenship Ach​ievements
​India
● Ranked 108 in ​CodeChef Long Challenge​in September 2015 out of
over 8000 participants from all over the World.
● Qualified​for First Round of Facebook Hacker Cup 2016.
● Have ​secured top 10 ranks​in several programming contests of
various college fests.
● AIEEE(All India Engineering Entrance Examination). ​Top
0.6% among 1.6 million students all over India(in the year 2013).
● Selected in ​National Science Olympiad ​(Among top five students
selected from school)​.
Pro​jects:
Operating Systems: Shell
Implemented a shell in C that handles pipelines, basic commands, signal-
handling, re-directions, and job-handling.
Data Structures: Segment Trees

2. Implemented Segment trees which can handle range queries and range
updates in logarithmic time in C++, as part of Data Structures Course.
Classification of Boolean Functions Where Affine Functions
Are Uniformly Distributed
People Involved​: ​Prof. Ranjeet Kr. Rout
Duration ​: May - June 2015
Description​: ​The new Algorithm for finding the relationship between
representatives of each class and total number of different classes of
Boolean Functions. We’re working towards a publication.
Implemented the Famous Machine Learning Algorithms
Implemented Logistic Regression and K- based Clustering algorithm on
the famous Iris dataset in IPython Notebook and Compared their efficiency.
Ski​lls :
Programming Languages :
● C, C++, IPython Notebook
Web Technology :
● HTML, CSS
Others :
octave, vim, , bash(basic).T XLA
E
coding handles : ​Rel​evant Courses Taken :
​Codechef : ​samir111 Introduction to Linux-101(edx), Machine Learning(ongoing), Algorithms:
Design and Analysis(Coursera), Data Structures, Operating Systems,
(Top Rating : ​5959​) Discrete Structures, Computer Networks, Database Management
HackerEarth : ​samirkumar​ Systems, Theory of Computation(ongoing).
Rec​reational Interests :
Table-Tennis Player, Avid Quora Reader, TEDx Listener.