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Shivani Singh

Looking For An Oppurtunity Where My Knowledge And Skills Fit Into An Organization To Fulfill Its Requirement And Growth Of Organization In Cutting Edg
  • Bangalore, Karnataka, India
  • MySql, Hadoop, Core Java
Profile Snapshot
Shivani is based out of Bangalore & has studied CS-Computer Science, ME MTech-Master of Engineering or Technology from Year 2015-2017 in Other, Other.
Shivani Singh is Skilled in MySql, Hadoop, Core Java and other talents.
About
This is shivani singh , i am from u.p , so if i am talking about about my objectives than i want to become a good engineer who have skills in all filled like if company have given me some work related to java and other work on python on other day than i can able to move on and take it as a challenge to complete within that day only
Work Experience
software engineer
mfx infotech
Full Time Feb-2019 To present (6 years 2 months)
Responsibilities
  • worked as a software engineer in streaming datasets using kafka

associate software engineer
icet it solutions
Full Time Jul-2018 To Jan-2019 (6 months)
Responsibilities
  • worked as a data scientist

Technical trainee
Internships Nov-2017 To Jun-2019 (1 year 7 months)
Responsibilities
  • I am working as a technical trainee in BiGData terminologies and hadoop, experienced and hands on in hive hbase sqoop pig flume and learning spark and scala

» 1 Project


bigdata in parallel R
Student at Other
Jul-2016 to present
This project is aimed in generating an effective scheme for Data Visualization in different Pictorial Graphs through Big Data by using Parallel R and finding limitation of R where R can fail to handle dataset so for that I am running twitter datset of 1 crore and I found that R can able to handle 100000 row at a time so I am deciding to run dataset in parallel by dividing into chunks in parallel R.So i am
checking parallelisation of R that how r can handle lot of big data for this i have written code in parallel R by using PARALLEL R libraries like snowby using dopar and write code for serial by using do after all this I found that by running both , parallel code shows less time as compared to serial in parallel R and i am running all this data in cores of cpu, so in serial only 1 cpu is running and in parallel 2 cpu are simultaneous working so it takes less time.after getting all these result i am
deciding to integrate RHADOOP, So now my work is to run that dataset in rhadoop
Education
Master of Engineering or Technology
OtherOther
2015-2017

Bachelor of Engineering or Technology
Institute of Engineering and Rural TechnologyGautam Buddh Technical University
2008-2012 | Score 66%
working as a cordinator in my college and taking participates in games
Extra-Curricular Interests
  • hadoop related search
  • batminton
  • related to machine learning things and data nalysis things doing
  • different games
  • my hobbies are singing