SAC 25 Final National, Regional & Local Angel Group Investing Insights 2024 0...
Resume
1. 1 Abhishek Bhimsaria
Profile Summary
• B. Tech. student at Poornima University, Jaipur, Rajasthan, to be completed in
JUNE, 2016.
• Worked on more than 6 Independent projects/mini projects during my
academic session
• MOOC Certificates on Big Data Programming, Analytics, Text Analytics and
more
• Good knowledge of java and HBase.
• Implementing the “Understanding Wikipedia through Latent Semantic
Analysis” in Spark and Scala as my Final Year Project
• Eligible for Data Processing Specialist according to AMCAT 2015.
• Leadership and Teamwork skills demonstrated through the Team Leader of
Academic Projects.
• Having more than 10 MOOC certificates describes the organizational and
Problem Solving Skills
Languages/Software
• Programming Languages: C, C++, Python, Matlab, Apache Pig and Java.
• Proficient: R.
• Web Development: HTML5, CSS, PHP, WordPress.
• Databases Used: Oracle 10g, MySQL 5.6, Apache HBase.
• Tools Used: Eclipse, Net Beans, MS Office, Open-Stack and Gluster-FS.
Operating System
• Windows xp / 7 / 8, Ubuntu, Red-Hat, Open Suse, Fedora.
ABHISHEK BHIMSARIA
30,Shrinath Colony abhi.oficial@gmail.com
Opp. Airport T-1, Sanganer in.linkedin.com/in/abhimsaria
Jaipur, India 302011 Mobile: +91-9602979334
2. 2 Abhishek Bhimsaria
Area of Interest
• Big Data, Machine Learning and Data Analytics.
Projects
[1] UNDERSTANDING WIKIPEDIA August 2015 – Present
Developing Latent Semantic Analysis on a bunch of Big Data Sets to better
understand Wikipedia, how its search retrieval system works and how it can be
improved. How much documents are related to One another, how terms are
related to each documents. For this we are using Spark Frame Work along with
Scala API.
[2] Turning Tweets into some useful Data July 2015 – August 2015
We are using NLP to better understand and drive meaning from human language.
In these Text Analytics project, we are trying to understand sentiment of tweets
about Apple Company. This project is executed in R language.
[3] Movie Data and Clustering June 2015 – July 2015
In this project, we have used data from movielens.org a movie recommendation
website to perform Content Filtering using a technique call Clustering. Our
Challenge is to systematically find groups of movies with similar sets of genres.
We had done this with the help of hierarchal clustering and after that using this
Clustering we can recommend movies to users.
[4] Predicting the Quality of Wine May 2015
In this Project, we are using a linear regression approach to predict the quality of
wine. We have build a linear regression model to predict the price of Wine against
all other dependent variables. This project is executed in R language.
[5] Popularity of Music Records May 2015
Taking an analytics approach, we aim to use information about a song's properties
to predict its popularity. Since our Outcome Variable is Binary like 1 if the songs
make in the top 10 lists and 0 if it doesn't, we have build a logistic regression
model. Then we have built several logistic model including as well as removing
(multi-co-linearity data) through which we have made a prediction whether a song
will be in the top 10 or not.
3. 3 Abhishek Bhimsaria
Certifications
SNo Certificate Name Provider
1 Analytics Edge MIT
2 Developing Hadoop Applications MAPR
3 HBase Schema Design MAPR
4 HBase Data Model and Architecture MAPR
5 MAPR Distribution Essential MAPR
6 Hadoop Essential MAPR
7 Text Analytics Essential IBM
8 Introduction to Pig IBM
9 Introduction to Map Reduce
Programming
IBM
10 Statistics for Business-1 IIM-B
11 The BI Revolution Microsoft
12 Introduction to R DataCamp
13
14
Management for Competitive Edge
Introduction to Cloud Computing
Open2Study
IEEE
Education
Bachelor of Technology Poornima University 2012-Present
My field of Study is Computer Science & Engineering and major subjects are
Data Structures, Databases, Algorithms, Computer Graphics, and Object
Oriented Techniques using UML, Operating System, Compiler Design, Computer
Networks, Software Engineering, and Web Technology. I have 72.47% marks till
6th semester.
Intermediate (10+2) Vidyashram Public School 2010-2011
Completed with overall 54% marks. Major subjects were Physics, Chemistry,
Mathematics and.
High School Little Flower High Scholl 2008-2009
Completed with overall 69% marks. Major subjects were Mathematics, Science and
Advanced Mathematics.
4. 4 Abhishek Bhimsaria
Trainings
Winter Internship-
Company : LINUX WORLD INDIA PVT. LTD.
Duration : 6 week, 1st
Dec 2014- 10th
Jan 2015.
Technologies : RHEL 6.4 & 7, CLOUD, BIGDATA, RHS.
Tools : OpenStack, Hadoop, Pig, Hive and many more.
Website Development Training-
Company : ISOFTINDIA WEB SOLUTIONS.
Duration : 6 months, 1st
Jan 2014-30th
June 2014.
Technologies : PHP, JavaScript’s, HTMl5, CSS3, CMS (WordPress).
Tools : XAMP, WAMP, Wordpress, Apache Server.
Honour and Awards
• Eligible for Data Processing Specialist and Customer Service Specialists
according to AMCAT Employability Test 2015.
• Achieved 2nd
prize in Software Development project in 2nd
Semester.
• Hold Certificate of International Knowledge Olympiad.
• Coordinator of University Hostel Fest for 2 events in 2nd
Semester.
Personal Details
• Date of Birth: 31st December 1991.
• Gender : Male
• Marital Status : Single
• Languages : English, Hindi
• Nationality : Indian