. GitHub: neerajkr .... Impact: Self Customizable, ad free, can be extended to replace Cus
Neeraj Kumar Email-id :
[email protected] Mobile No.: +91 9472001782
GitHub: neerajkr LinkedIn: neeraj-kumar-351266a8
ACADEMIC DETAILS
Year 2013- Present 2013 2011
Qualification B.Tech in EE & Minor in CSE Class XII , Bihar State Board Class X , CBSE Boardn
Institution IIT Kanpur, India MBBL College, Muzaffarpur Chandrasheeh Vidyapeeth , Muzaffarpur
CPI/% 9.1/10.0 81.6 %(10th rank) 10.0/10.0
SCHOLASTIC ACHIEVEMENTS
• Received Academic Excellence Award for outstanding performance in academic year 2014-15 . • Awarded by state government for securing top 10 position out of 500,000 students (99.999 % percentile) in higher secondary board • Secured Rank 1 out of 8000 participants in state competitive exam and awarded with laptop by GOAL Institute in association with Prabhat Khabar • Secured All India Rank 1938 (OBC-233) in JEE-ADVANCED ‘13 and All India Rank 435 (OBC-50) with State Rank 3 (OBC-2) in JEE-MAIN ’13 amongst 13,50,000 students MAJOR PROJECTS
• Sentiment Analysis and Summarisation of Product Reviews [Natural Language Processing] (Guide: Prof. H C Karnick, Department of Computer Science and Engineering , July’16 - Nov’16) ◦ The purpose of our project is to develop techniques for text classification that would enable to classify the product’s review according to the sentiment expressed. ◦ Implemented unsupervised approach to generate concise summary of the product from its reviews. To generate summary, extracted the features of product and the opinions on each feature using double propagation algorithm. • Object Detection and Classification from campus main gate surveillance video [Machine Learning] (Guide:Prof. Harish Karnick, Department of Computer Science and Engineering , Jan’16 - Apr’16) ◦ Pre-processed the video using image-processing techniques with the help of opencv and other open source softwares ◦ Labelled the pre-processed data using cooperative or crowd-sourced labelling ◦ Separated foreground frames from background frames with high accuracy ◦ Classified different objects in the videos - pedestrians, vehicles, other using different machine learning technique- Decision Tree Classifier ◦ Analysed the result and accuracy of various machine learning techniques • Reducing Hubness in High Dimensional Data Spaces [Artificial Intelligence] (Guide:Prof. Piyush Rai, Department of Computer Science and Engineering , Jan’16 - Apr’16) ◦ Studied the theoretical aspects of the project which includes various methods to reduce hubness, a general problem of high dimensional data spaces ◦ Implemented techniques like Local Scaling (LS), Mutual Proximity (MP) and shared nearest neighbor (SNN) ◦ Experimented the techniques on various data available on Internet and reduced effect of hubness problem by significant amount • Implementation of Face Detection using Skin Color Segmentation [Image Processing] (Guide: Prof. Tanaya Guha, Department of Electrical Engineering , July’16 - Nov’16) ◦ Firstly segmented skin regions from an image using combination of RGB, HSV and YCgCr color models using thresholding concept. ◦ Then facial features are used to locate the human face based on knowledge of geometrical properties of human face by testing each segmented skin region. • Implementation of Server, Client and Proxy [Computer Network] (Guide: Prof. Rajesh Hegde, Department of Computer Science and Engineering , July’16 - Nov’16)
◦ Designed a Server and Client Communication protocol through HTTP 1.0 with the help of socket programming in C++ ◦ Designed a Proxy server which takes request from browser and then parse the request before sending it to Server. Then, from server it receives response and send it to client browser ◦ Implemented TCP protocol and analysed BGP data • NachOS [Operating System] (Guide: Prof. Mainak Choudhary, Department of Computer Science and Engineering , July’16 - Nov’16) ◦ Implemented System calls pertaining to Fork, Exec, Join, Sleep and Exit ◦ I UNIX, First in First Out, Round Robin and Shortest Job First job scheduling algorithms ◦ Also implemented Shared Memory, Semaphores, Condition variables and Demand Paging • Acoustic Bearing Fault Detection [Summer Project] (Guide: Prof. Rajesh Hegde, Department of Electrical Engineering , Jun’15 - Jul’15) ◦ Studied the theoretical aspects of the project which includes various methods to reduce hubness, a general problem of high dimensional data spaces ◦ Implemented techniques like Local Scaling (LS), Mutual Proximity (MP) and shared nearest neighbor (SNN) ◦ Experimented the techniques on various data available on internet and reduced effect of hubness problem by significant amount INTERNSHIPS
• Development of Search Engine (Under the guidance of Mohtashim M, MD of Tutorialspoint Pvt Ltd, Hyderabad- Dec’16) ◦ Implemented all the modules of search engine- Crawling, Indexing, Ranking, Presentation from scratch mainly using Python ◦ Worked in a team of three interns to successfully complete the project in just one month ◦ Researched and read about different components of general search engine and implemented them after discussion with mentor and team members ◦ Impact: Self Customizable, ad free, can be extended to replace Custom Google Search • CAN and LIN Protocol Analyzer (Mentor: Ms. Sunitha Cherkottu, Texas Instruments, Bangalore, India, May’16 - July’16) ◦ Used Hercules Microcontroller (RM46L852) to generate CAN(Controller Area Network) and LIN(Local Interconnect Network) Frames ◦ Used Code Composer Studio(CCS IDE, TI IDE for microprocessors and micro controllers) for generation and analyzation of signal ◦ Sent the generated CAN frame to tx pin of CAN and LIN transceiver and read back the rx value and compared each data bit ◦ Made a GUI, which can control speed, data bits and other parameters ◦ Designed a Level Shifter circuit which can add a offset of around 60V to a digital signal INTERESTS and SKILLS
• Area Of Interest: Machine Learning, Image Processing, Computer Vision, Algorithms, Networks • Programming and Scripting Languages (C, C++, Python, Verilog, HTML,JAVA Script, MATLAB),Operating Systems (Macintosh, Linux, Windows ) Other Tools (GNU Octave, MicroCap, LaTeX, AutoCAD, Inventor , WEKA ), Tools (Eclipse, LATEX, Gnuplot, Rstudio). POSITIONS OF RESPONSIBILITY
• Internship Coordinator (Students’ Placement Office, IIT Kanpur , Apr’15 - Mar’16) ◦ Led a team of 30 volunteers during placement procedures and worked in a team of 40 members ◦ Successfully conducted PPTs, Tests, GDs, Interviews and other procedures and contacting companies ◦ Acted as a link between companies and students in exchanging information between them ◦ Achieved best placement performance in terms of number of students placed and interested companies ◦ Many new firms confirmed for the first time; positive feedback from both companies and students
• Academic Mentor (Counselling Service, IITK, IIT Kanpur , May’14 - May’15) ◦ Taught and inspired academically weak freshmen students in lecture halls and hostels , approximately 100 students at a time ◦ Mentored and motivated 5 underperforming students and taught them individually to overcome academic probation zone • Event Coordinator (Megaworld Events, Techkriti’15, Jan’15-Mar’15) ◦ Coordinated a team of 15 members to smoothly conduct and plan tasks of informal events like poker, lottery, auctioning etc. ◦ Managed to gather huge crowd around informal events and remained centre of attraction during festival days • Secretary (Animation Club, IIT Kanpur, Apr’14-Apr’15) ◦ Conducted workshop for freshmen students to acquaint with software , how to model and animate 3d and 2d objects ◦ Gained participation in various events conducted under FMC Club in intra hall competitions by more than 2-fold MAJOR COURSES
• Machine Learning and AI: Machine Learning: Tools, techniques, applications| Natural Language Processing | Artificial Intelligence |Optimization Techniques| Machine Learning from Stanford University (Prof. Andrew NG) | Data Mining with WEKA | Statistical Learning (Standford Online) • Mathematics: Real and Complex Analysis | Differential Equations | Probability and Statistics | Linear Algebra | Calculus • Computer Science: Computer Networks| Operating System| Data Structures and Algorithms | Algorithm II | Computer Organisation | Fundamentals of Computing • Electrical Engineering: Image Processing |Digital Electronics and Microprocessor Technology | Analog Circuits | Semiconductor Devices | Control System Analysis | Principles of Communication | Signals Systems and Networks| Introduction to Electronics EXTRA-CURRICULAR ACTIVITIES
• Social: Created awareness about education in near-by villages and taught economically backward students under NSS program • Dramatics: Participated and performed in skit in Galaxy’13 (Intra-hall Cultural events); member of winning team
