This document is a resume for Rahul Kumar summarizing his career objective, work experience, job responsibilities, education, technical qualifications, strengths, hobbies, and personal details. Rahul's career objective is to achieve a responsible position utilizing his hard work, dedication, knowledge and analytical skills. He has work experience as a Data Maintainer at Sona Koyo Steering Systems Limited and currently works as a Data Analyst at Neel Auto Thai Sumit Pvt. Ltd. His job responsibilities include MIS reporting using Excel, generating accurate reports, updating management on MIS data, and extensive use of Excel functions. Rahul is pursuing his B.Sc. and CCC qualifications and has technical skills in Navision, MS
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
1. Career Objective
To achieve a responsible place in an organization with my best ability of hard
Work dedication, knowledge and analytical skills to achieve growth and add value to
the organization.
Work Experience:- Organization-: Sona Koyo Steering Systems Limited
Worked with Sona Koyo Steering Systems Limited as a Data Maintain
Currently working in Neel Auto Thai Sumit Pvt. Ltd as a Data Analysis from
15th
May 2014 till to date.
Job Reponsibililties
MIS reporting by using MS-Excel at Operational and client level.
Generate timely and accurate report.
MIS Data and Updating the Management.
Extensive usage of MS-Excel (V lookup, H lookup, Pivot (Table & Chart),
Count, Count-if, Sum-if, Match, Count Blank, Len, Index) Etc.
Preparing & Marinating Management Information System Report (MIS) and
daily expenses records.
Daily basics report analysis in MS-Excel.
Education
10th
Passed from U.P. Board, Allahabad in 2010.
12th
Passed from U.P. Board, Allahabad in 2013.
Pursing B.Sc. From Dr. B.R Ambedkar University Agra
RAHUL KUMAR
Rajeev Colony
Jakhad Market-Naharpur Rupa
Gurgaon--122001
Con; +918285633563,9760354569
E-mail-rahulsinghkarma@gmail.com
CURRICULAM - VITAE
2. Pursuing CCC from Global Institute , Etawah U.P.
Technical Qualification
Microsoft Navision Solution 9
MS-Office Word, Power Point & Excel 2007, 2010
Internet
Strength
Hardworking & confidence
Honesty
Positive Attitude
Working in Team Spirit
Hobbies
Playing Cricket
Appreciate to music
Chess
Computer Games
Personal Profile
Name : RAHUL KUMAR
Fathers Name : Sh. MANMOHAN SINGH
Gender : Male
Date of Birth : 10/08/1994
Nationality : Indian
Language Know : Hindi & English
Marital Status : Unmarried
Permanents Address : H. No. 171, Pathwariya Etawah U.P.
: Pin Code - 206001
Declaration: - I do here by declare that the particulars of information and facts
stated here in above are true and complete to the best of my knowledge and belief.
DATE: - ………………..
