Sanjay Verma is seeking a job that provides growth, excellence, and satisfaction. He has a B.Com degree in Accounting with over 10 years of experience in roles like Manager of Indirect Taxation and Commercial work. His technical skills include Microsoft Office, Tally, and experience with accounting, taxation, and commercial tasks like maintaining records and reconciling accounts. He is motivated, adaptable, and a quick learner seeking to contribute his skills.
Abstract— Itinerary planning is the important process for the travelling agencies which need to be done carefully to satisfy the requirements of the users. The satisfaction level of users can be increased by creating the itinerary planning in the customized manner by gathering the details from the users itself. There will be more burden of processing the large search space will occur where the number of POI present will be large. The time complexity and cost of processing those requests will be increased due to the large search space. And also it will be more difficult when there is a need of creating an similar type of itinerary plan to the multiple users. To overcome this problem in this work multi-user itinerary plan generation was proposed which intends to generate the multi-user customized itinerary plan by using the fuzzy-c-means clustering algorithm. In this approach, membership values are defined for clustering process. Based on the membership values of users we are clustering the users. From the experimentation result, the proposed system is used to reduce the search complexity as well as time complexity of the system.
Abstract— Itinerary planning is the important process for the travelling agencies which need to be done carefully to satisfy the requirements of the users. The satisfaction level of users can be increased by creating the itinerary planning in the customized manner by gathering the details from the users itself. There will be more burden of processing the large search space will occur where the number of POI present will be large. The time complexity and cost of processing those requests will be increased due to the large search space. And also it will be more difficult when there is a need of creating an similar type of itinerary plan to the multiple users. To overcome this problem in this work multi-user itinerary plan generation was proposed which intends to generate the multi-user customized itinerary plan by using the fuzzy-c-means clustering algorithm. In this approach, membership values are defined for clustering process. Based on the membership values of users we are clustering the users. From the experimentation result, the proposed system is used to reduce the search complexity as well as time complexity of the system.
Abstract-This paper presents the novel synchronous frame hysteresis controller for three phase Uninterruptible Power Supply (UPS)based on Z-Source Inverter (ZSI). The proposedsynchronous frame approach minimizes the hysteresis control time delay to onesixthof the fundamental period such that the dynamic response is significantly improved. The hysteresis band currentcontroller determines the switching signals, and the algorithm based onanextension of Synchronous Reference Frame(SRF) Theory (d-q-0) is used to determine thesuitable current reference signals. A filter is applied to further enhance the accuracy of steadystate tracking.Low total harmonic distortion has been achieved under heavilydistorted nonlinear load and unbalanced load.The ZSI provides agreat alternative with lower cost, higher reliability and higher efficiency.
Abstract— In today’s world, internet services are extremely essential as they're needed for accomplishing tasks during a matter of second. Internet services offer options like e-Booking, e-Shopping, e-Banking that helps users to accumulate everything from wherever they're. Presently internet developers use linguistics based mostly descriptions of internet services to pick out and compose them and supply one composition arrange to the users. In bound cases providing one arrange to the users might not enable them to explore alternative smart choices that are obtainable. With facilitate the assistance of culture loop pattern it's attainable to allow multiple choices to the user’s request which might help them to pick out an idea in step with their need and luxury. So associate formula is projected supported linguistics description associated multiple composite services dynamically and to supply the user a flexibility to pick out an optimized composition supported their comfort.
Abstract –The energy efficiency has become more important in MIMO wireless communication system in recent days. The antennas at each end of the communications circuit are combined to minimize errors and optimize data speed. In Multiple Input Multiple Output Time Division Duplexing (MIMO TDD), by assuming reciprocity property the downlink transmission is based on uplink channel estimation. When more uplink pilot power ensures more accurate channel estimation and better downlink performance, it achieves higher energy consumption of mobile users. Link adaptation scheme uses different modulation schemes for different communication link quality. From the result of MIMO TDD, it ensures high Bit Error Rate.MIMO schemes are usually incorporated intoOFDM systems. The spatial and frequencyresource can be jointly allocated to improve EE.However, the complexity of the joint design may be prohibitive. This system is effective, in addition to that it also needs simple algorithms like energy efficiency optimization power allocation (EEOPA) algorithm of multiuser multiple input and multiple output (MU-MIMO) systems in order to obtain a trade-offbetween complexity and performance.
Abstract— Online Social Network such as Face book, Twitter, LinkedIn e.tc, have become the preferred interaction, entertainment and socializing facility on the internet. However With the emergence of numerous social media sites, individuals, with their limited time, often face a dilemma of choosing a few sites over others. Users prefer more engaging sites, where they can find familiar faces such as friends, relatives, or colleagues. Link predictions method help find friends using link or content information. Unfortunately, whenever users join any site, they have no friends or any content generated. In this case, sites have no chance other than recommending random influential users to individuals hoping that users by befriending them create sufficient information for link prediction techniques to recommend meaningful friends. In this paper, we discussed find friends on a new a social media site when link or content information is unavailable. The purpose of this research paper is highlighting social forces in Online Social Network using minimum information with their latest solutions by using data mining techniques are dealt in this paper elaborately.
Abstract— Cloud storage is usually distributed infrastructure, where data is not stored in a single device but is spread to several storage nodes which are located in different areas. To ensure data availability some amount of redundancy has to be maintained. But introduction of data redundancy leads to additional costs such as extra storage space and communication bandwidth which required for restoring data blocks. In the existing system, the storage infrastructure is considered as homogeneous where all nodes in the system have same online availability which leads to efficiency losses. The proposed system considers that distributed storage system is heterogeneous where each node exhibit different online availability. Monte Carlo Sampling is used to measure the online availability of storage nodes. The parallel version of Particle Swarm Optimization is used to assign redundant data blocks according to their online availability. The optimal data assignment policy reduces the redundancy and their associated cost.
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“Seeking a career in ACCOUNTS FIELD with challenging assignments in Finance & Accounts, Taxation, Excise & Commercial Functions and work in a challenging, competitive and creative environment that reflects the latest developments in technology and to work to the best of my ability and grow with an organization I work for”.
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1. Name : SANJAY VERMA
Address: 85,Bastacolla, Po Dhansar,Dhanbad-828106
C/o Raj AlankarJeweller,AataChakki,Jharkhand
Mobile:+91 8101749343, +91 9547704888
Email : sanjay.verma53@gmail.com
OBJECTIVE
“To succeed in an environnent of growth and excellence and earn a job which provides me job
Satisfaction and self développent and help me achieve personal as well as organization goals.”
ACADEMICS
TECHNICAL SKILL
SOFTWARE - Microsoft office. Tally
OPERATING SYSTEM - Skills of Windows 7, 8, Windows XP.
INTERESTED SUBJECT - Accounting on Tally , MS-Excel, MS-Word.
SKILLS
Data Entry in Tally, Documentation, Excise Invoicing, Letter Drafting etc.
Central Excise related works upto assessment level.
VAT, Service Tax, PF, ESI, Statutory E-Payment.
Participating in Online E-Auction conducted by Metal Junction Services Ltd. & MMTC (Metals
and Minerals Trading Corporation of India)
Looking day to work related with Accounts Receivable, Accounts payable with client released
dues and collect outstanding.
Placing Quotation, Purchase Order for Raw Material requirement, Spares & Parts, Store
Inventory etc.
Debtor and Creditors List, day wise reporting to MD and Monthly P/L, Balance Sheet.
Monthly Physical Verification Reporting.
Liaising with Departmental officer, Monthly Bank and Cash reconciliation.
Level University/Board College/School Year of
Passing
Percentage
B.Com
(Accounts Hons.)
VinobaBhave University. R S P College,Jharia 2004 50.00
12th
JharkhandIntermediate
EducationCouncil.
R S P College,Jharia 2001 60.00
10th
Bihar School Examination
Board.
L N V M HighSchool.
Dhansar
1999 47.14
2. LogisticworkRake Division(Maintainingof Rake Report,RailwayReceipt, MR,GCV,OL-UL,POL- 1
Pol-2, Quantity and Quality reconciliation )
STRENGTHS
Self-motivated.
Easilyadaptable tonewenvironmentandplace.
Decisionmakingability.
Quicklearner.
Veryhard working.
HOBBIES
Interactingwith peopleandmakingfriends.
Playing&watchingcricket.
ReadingNewsPaper.
WORK EXEPERIANCE.
Presentlyworkingat as Manager (Indirect Taxation, & Commercial) in H R Ispat Private Limited
(A Manufacturer of MS Ingot) at Durgapur (W.B.). (2008)
PreviouslyasSr.Executive Central Excise and Commercial in Shivam Meltech Pvt. Ltd. Formally
known as Krishna Sundaram Iron & Steel Pvt. Ltd. (Manufacturer of MS Ingot & TMT Bar) at
Durgapur, W.B. (2006-2008)
Previously worked in Ridhi Sidhi Iron & Steel Pvt. Ltd. (Corporate & Factory) as Manager
(Commercial & Taxation). (2006-2006)
Before That I was at Shakambhari Overseas Trades Pvt. Ltd. (Manufacturer of MS Ingot &
Industrial Gases) as assistant of Accounts. (2004-2006)
PERSONAL INFORMATION
Mother’s name :UMA DEVI
Father’sname : DEVENDRA PRASADVERMA
Date of birth : 05/04/1983
Nationality : INDIAN
Languages known : ENGLISH, HINDI.BENGALI.
Marital Status :MARRIED
DECLARATION
I herebydeclare thatthe above informationfurnishedbyme istrue tothe bestof my knowledge.