CV_Abhishek
- 1. ABHISHEK U5/9 DLF Phase 3, Gurgaon, Haryana- 122002 abhishekrn007@gmail.com www.linkedin.com/in/abhiece Mobile - +918876533452 EDUCATION INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI Bachelor of Technology Electronics and Communication Engineering CGPA: 6.62/10 OXFORD PUBLIC SCHOOL Senior Secondary (XII) Ranchi, Jharkhand Percentage: 80.20% D.A.V PUBLIC SCHOOL Secondary (X) Hazaribag, Jharkhand Percentage: 87.00% COURSEWORK UNDERGRADUATE Pattern recognition & Machine Learning Computer Vision Speech Technology Image Processing CAD for VLSI Embedded Systems Data structure Algorithms Digital Circuits & Microprocessors Semiconductor Devices & Circuits Probability and Random Processes SKILLS PROGRAMMING SQL VerilogHDL C MATLAB SAS R VBA CAD TOOLS Simulink Multisim Pspice OTHERS Ms Excel Minitab EXPERIENCE AXTRIA INGENIOUS INSIGHTS | Analyst Rahul Jain, Senior Associate, Axtria July 2016 Present | Gurgaon, Haryana Test and Control Case Study Of the three sets of control physicians, the set representing the test physicians who have undergone the digital campaign was chosen. Impact of the digital campaign was measured using the Brand prescriptions. HANYANG UNIVERSITY | Undergraduate Research Intern Prof. Frank Chung-Hoon Rhee, Dept. of ECE May 2015 July 2015 | Ansan, Seoul, South Korea Explored different clustering techniques based on fuzzy logic such as FCM, PCM, FPCM and PFCM. Implemented interval type-2 based Gaussian Kernel-Possibilistic Fuzzy c-means clustering on various data sets and RGB images. PROJECTS POLYP DETECTION IN ENDOSCOPIC VIDEO July 2015 - April 2016 | IIT, Guwahati Worked under the joint supervision of Prof. M K Bhuyan and Prof. Yuji Iwahori, Chubu University, Aichi, Japan. The rotation invariant LDP, OCLBP and enhanced HOG were used as features of the endoscopic images. SVM with RBF Kernel was used classification. The edge map of images was used for ellipse fitting. Snake segmentation was used to trace the exact shape of the polyp. Optical flow algorithm was used to continuously track the polyp. FACIAL RECOGNITION, CAPTCHA SOLVING AND GMM January 2015 |IIT, Guwahati Course Projects under Prof. Suresh Sundaram Implemented PCA and Fisher Discriminant to develop code which can classify photos using k-nearest neighbor algorithm. For captcha solving, Bayes Classifier was implemented for limited characters. Implemented Gaussian Mixture Model to develop a code which can segment different objects in a color picture (RGB) and highlight them. SPEECH RECOGNITION OF SPOKEN ARABIC DIGITS March 2016 | IIT, Guwahati Using MFCC coefficients extracted from speech samples, feature vector is created for each of the 10 class(digits). K-means, Vector Quantization and GMM are used for recognition of spoken digit. GMM gives the highest classification accuracy with 94%. 3 LINKAGE ROBOTIC ARM January 2015 - April 2016 | IIT, Guwahati Demonstrated a 5 DOF robotic manipulator in which neural network was used to get joint angles in order to go to a point in 3-D space. Servo motors were used as actuators and being controlled by Arduino board. ACHIEVEMENTS Completed Lean Six Sigma Green Belt Certification program by KPMG. Ranked 31st in the Pan IIT ZS Young Data Scientist Challenge 2015.