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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.

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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.