AVIGYAN KUMAR
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Email:-OBJECTIVE
To obtain a challenging position in a high quality engineering environment where my academic skills will add value to
organizational operations and growth.
EDUCATION
Bachelor of Technology in Information Technology, CGPA 8.51
12th Science from Bihar board, R.K.D College, Patna, 66% aggregate
10th CBSE board, Premalok Mission School, Patna, CGPA 7.4
2013 -
PROJECTS
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: DETECTION OF LEUKEMIA USING CONVULATIONAL NETWORK JAN(2018)
: Using image of blood counting number of WBC in blood sample
: HAND WRITTEN DIGIT RECOGINITION
NOV(2017)
: Project on detecting hand written digit using Neural network
: NETWORK INTRUSION DETECTION
OCT(2017)
: Project on detecting different attack using K-Means algorithm
: IMPLIMENTATION OF ELBOW METHOD
SEP(2017)
: To finding optimal value of k in k-Means algorithm
: NAME ENTITY RECOGINATION OF A DOCUMENT
JULY(2017)
: Using CRF algorithm for NER in a pdf document
: FACIAL EXPRESSION DETECTION
JUNE(2017)
: Using convolutional neural network
: MOVIE DATA ANALYSIS
MAY (2016)
: Project on “MOVIE DATA ANALYSIS” using tool PIG
: MOVIE DATA ANALYSIS
MAY (2016)
: Project on “MOVIE DATA ANALYSIS” using tool PIG
: STACK OVERFLOW DATA ANALYSIS
MAY (2016)
: Project on “STACK OVERFLOW DATA ANALYSIS” using tool HIVE
: LOGISTIC WEB APPLICATION
MAY(2017)
: Project on using MVC DOTNET logistics web application
Experienced and learned machine learning supervised and unsupervised learning .
Experience of deep learning .
INDUSTRIAL EXPERIENCE
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Infosys lab
Internship in Infosys
SEP 2017-Present
JAN-MAY(2017)
CERTIFICATIONS
Natural language processing from courser
Deep learning specialization from coursera
JAN(2018)
DEC (2017)
Machine learning from coursera
Python for data science from data camp
BIG DATA AND HADOOP from Edureka.
JULY(2017)
JUNE(2017)
May-June (2015)
TECHNICAL SKILLS
MACHINE LEARING ALGORITHM: LOGISTICS REGRESSION,PCA,SVM,NEURAL NETWORK,K-MEANS etc
NLP ALGORITHM: IDF, LDA, CRF , ENR etc
LANGUAGE: PYTHON, SCALA, JAVA.
DATABASE MANAGEMENT SYATEM: My-SQL, ORACLE.
NOSQL: MONGODB.
HADOOP PROGRAMMING TOOL: PIG, HIVE, MAP REDUCE.
FRAMEWORK: TENSORFLOW, KERAS, HADOOP, SPARK, PYTHON DJANGO, Dot Net MVC.
DISTRIBUTED: DASK, LOAD BLANCING USING HAPROXY.
Soft skills
Hard working
Good learner
Team player
Good at management
SEMINARS AND WORKSHOPS
Attended workshop on Big data.
Attended seminar on TAAS at ICDCIT.
Attended seminar on Ethical Hacking at KIIT.
EXTRA CURRICULAR ACTIVITIES
Member Kiit Marketing Society.
Intershala Campus Ambassador.
KIIT MUN.
Participated in Kiit Fest.
Participated in marketing event in Kiit Fest.
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AWARDS & RECOGNITION
Bagged 1st prize in Infosys marathon 2018.
Bagged 1st prize in cyclothon Patna.
Bagged 3rd position in loophole event at kiit fest.
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