DHANYA.K
KRISHNALAYAM(H)
acd153@r.postjobfree.com KONOT (PO)
KUNNAMANGALAM(VIA)
KOZHIKODE(DIST)
KERALA-INDIA
MOB:91-
PH:049*-*******
OBJECTIVE:
I am confident in assuming challenging responsibilities in the area of Electronics and
Communication Engineering section of a professionally managed and growth oriented organization.
EXPERIENCE:
INDUSTRIAL TRAINING
• VIDESH SANJAR NIGAM LIMITED (TATA COMMUNICATION )-(Tata communication
limited is an Indian global telecommunication company located in Mumbai )
Videsh Sanchar Nigam Limited (VSNL) was incorporated in 1986 as a public sector enterprise to cater to
overseas communication services. VSNL is the world’s largest international wholesale carrier with more than 415
direct and bilateral relationships with leading international voice telecommunications providers, providing more than
17 billion minutes of international wholesale voice traffic annually. It was the first telecom service provider to acquire
the TL 9000 certification globally. The company provides connections to over 400 mobile operators worldwide. It is
also the principal provider of signaling conversion services to enable GSM roaming to and from North America.
Through its acquisition of Teleglobe in 2005, VSNL extended its global reach to over 240 countries.
ACHIEVEMENTS
• Acquired practical knowledge from satellite communication section
• Acquired practical knowledge from sub marine and optical communication section
• Acquired practical knowledge about base transmitter station
• ALL INDIA RADIO-(All India radio is one of the largest radio network in the world)
All India radio is one of the largest broadcasting organizations in the world in terms of the number of
languages of broadcast, the spectrum of socio-economic and cultural diversity. It serves, AIR’s home service comprises
406 stations today located across the country, reaching nearly 92% of the country’s area and 99.19 % of the total
population. AIR originates programming in 23 languages and 146 dialects. Established in 1930 it is the sister service of
Prasar Bharati's Doordarshan, the national public television broadcaster.
ACHIEVEMENTS
• Acquired practical knowledge from Transmitter and Receiver section of FM station
• Acquired practical knowledge about Mixing console
• Acquired practical knowledge about recording and scheduling of program
EDUCATIONAL QUALIFICATION
Year of Percentage of
Examination Specialization Board/University School/College
passing marks I.E.S College of
Engineering
B.Tech ECE Calicut university 2014 70
Thrissur
Govt.H.S.S
Board of Higher
Payambra
HSS SCIENCE(Bio,Phy,Che,maths) secondary 2010 83
education Kozhikode
J.D.T ISLAM
Board of Secondary
V.H.SS
SSLC SSLC 2008 89
education
Kozhikode
PROJECT DESCRIPTION
MAIN PROJECT:
ROBOT:
This project is developed for the users to construct a MINE RESCUE ROBOT. It detects different types of
mines, and senses temperature level, humidity etc, then sends all information to the personal computer as videos. It
detects the presence of all obstacles for the easy movement of the robot. This robot is controlled by an android mobile
phone.
MINI PROJECT:
SMART START ALCOHOLIC DETECTION:
Alcohol Detection System-SMARTSTART is to be installed in vehicles. Alcohol Detection is a novel
method to address the problem of accidents due to driving after alcohol consumption and it also reduces the
need for police intervention to prevent the offense. If the presence of alcohol is detected by the system then the
vehicle will not move.
SEMINAR
SPEECH RECOGNITION BASED ARTIFICIAL NEURON NETWORK(IEEE)
This paper extends a novel neural network language model which relies on word clustering to structure the
output vocabulary: Structured Output Layer (SOUL) NNLM. This model is able to handle arbitrarily-sized
vocabularies. Several soft max layers replace the standard output layer in this model. The output structure depends on
the word clustering which is based on the continuous word representation determined by the NNLM. Mandarin and
Arabic data are used to evaluate the SOUL NNLM accuracy via speech-to-text experiments. Well tuned speech-to-text
systems (with error rates around 10%) serve as the baselines. An enhanced training scheme is proposed that allows
more data to be used at each training iteration of the neural network.
COMPUTER SKILLS:
Operating system :WINDOWS
Programming languages :VHDL,MATLAB,MICROPROCESSOR,C PROGRAMMING,JAVA,DSP
Additional knowledge :ORCAD
EXTRA CURRICULAR ACTIVITIES
• An active member of IEEE(Institute for electrical and electronics engineers)
• An active member of ISTE(Indian society for technical education)
• Coordinated a technical fest DRISHTI’12
• Participated in various literature camp conducted by literature society of Kerala
• Participated in various literature camp conducted by literature society of India for representing Malayalam
literature section.
HOBBIES
• Writing script, novel, poetries, criticisms and Essays
• Listening music
• Travelling
• Reading
STRENGTHS
• Positive attitude & Confidence
• Friendly & Adaptive
• Faith in Supreme Power
• Commitment to any work assigned
• Leadership Quality
ACHIEVEMENTS
• Won Sargaprathibha award for best writer in the year 2007
• Won Kunjiraman Nair award for best poetry writer in the year 2009
• Won best Criticism award on the topic ”New generation Malayalam stories” conducted by Literature society
of Kerala in the year 2011
• Won Mayyazhi award for best article, on the topic “Malayalam literature and culture of Kerala” conducted
by Literature society of India in the year 2012
PERSONAL DETAILS
Date of birth :31-05-1992
Gender :Female
Marital status :Single
Language known :English,Malayalam and Hindi
Expected salary :(negotiable and as per industry standards)
Local address :Krishnalayam,Konot(Po),Kunnamangalam(Via),Calicut(Dt),673571(Pin),
Kerala.India
Email :acd153@r.postjobfree.com
DECLARATION
I Miss. DHANYA.K do hereby declare that the above information is true to the best of my knowledge.
Date:15/03/2014
Place: Kozhikode
DHANYA.K
REFERENCE
• Mr. Robert Maria Vincent
Placement Officer
IES College of Engineering, Chittilappilly, Thrissur, kerala, India
Contact Number: 91-808*******
• Mr. Rahul
Senior Engineer
Videsh Sanjar Nigam Limited
Contact Number: 91-924*******