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Mr. Zilu Ramkrishna Rane
Kudal (Sangirde), Sindhudurga(MH), PIN – 416520
| +918446774967 | zilurrane@gmail.com | http://www.compilers.in |
Objective
“To utilize my skills and abilities to solve real life problems with industry that offers
professional growth while being resourceful, innovative and flexible”.
Executive
Summary
1. Excellent analytical capacity, coding skills and documentation methodology.
2. Able to grasp most of the things easily and always updated with new
technologies.
3. Command over mathematics.
4. Good team member and can multitask easily.
5. Able to handle Ubuntu very well and loves open source technologies.
Technical
Skills
 Command over C, PHP.
Languages : C, Java, PHP, Python, HTML5, CSS, JavaScript, Ajax, Shell,
NLTK, LaTex etc.
Databases : Oracle, SQL, etc.
Frameworks : Bootstrap, etc.
Tools : Visual Studio 2013, NetBeans, Eclipse,SublimeText, Atom etc.
Operating
Systems
: Ubuntu (Top most flavours, Desktop interfaces),
Red Hat Linux, Windows family, etc.
Industrial
Experience
Fresher.
Project
Experience
COMPILERS.IN
July 2013 to Present
Experience of web development.
http://www.rmcet.com
Currently under development
Experience of web development.
SEM III: Java Mini project on CBSGS (Credit Based Grading System).
SEM V: Mini Project on Online Examination Management System in PHP and other
web technologies.
SEM VI: Mini project on CodyHouse using advance Apache configurations and web
technologies.
Live Project:
Faculty Feedback Evaluation System, Web based application for Indira
Institute of Pharmacy, Sadavali.
FINAL YEAR PROJECT:
“Machine Learning Approach for Sentimental Analysis of Twitter Feeds
using Hadoop Framework”
 Technologies Used
Cloudera’s Distributed Hadoop [CDH 5.4]- Flume, Hive
CentOS, Python, Java, Shell, NLTK,
PHP, HTML, CSS, Bootstrap 3.2, Morris.js, Twitter Streaming API etc.
 Description
We extracted tweets related to user provided keyword by using Flume and Twitter
Streaming API to HDFS. Then used HiveQL to to structure and query extracted
tweets. We used Python Web for sentiment analysis as positive, negative and neutral
classes. Analysis results were visualized on webpage using Morris.js.
 Future Scope
Realtime and live implementation.
Page | 2 |
I hereby declare that the above information is true to the best of my knowledge and beliefs.
Date: 1st
June, 2016
Workshops
and
Trainings
1. 16 Days in plant training at Ashida Electronics, Thane.
2. 2 Days workshop on “Ethical Hacking and Cyber Security” by Geekslab
Technologies, Delhi.
Academic
Details
GATE-2016 Qualified
GATE SCORE: 415 AIR: 7623
B. E. (Persuing) : Computer Engineering
Rajendra Mane College of Engineering and Technology, Mumbai University.
CGPI: 9.03 (Till 7th SEM)
SEM SGPI
I 8.93
II 9.07
III 9.71
IV 9.00
V 9.00
VI 8.17
VII 9.36
H. S. C. (June, 2012) : Computer Science
Kudal Highschool and Jr. College, Kudal, Sindhudurga(MH),
Konkan, 82.67%
S. S. C. (June, 2010)
Kudal Highschool and Jr. College, Kudal, Sindhudurga(MH),
Kolhapur, 95.27%
Achievements
 Conducted 20 hrs workshop on 3rd
year Computer Engineering students on
“Web Development using PHP”.
 Paper Publication- “Machine Learning Algorithm for Sentimental Analysis of
Twitter Feeds”, IJETTCS, Mar-Apr 2016, Impact Factor- 5.663.
 Paper Publication- “Use of Hadoop Framework for Web Based Sentiment
Analysis”, IJSRD, Oct-Nov 2015, Impact Factor- 2.39.
 Second runner-up in Web designing competition held at A. C. S. College, Lanja
(Ratnagiri), January 2015.
 First prize in C Programming competition (Doubles) held at SSPM COE,
Kankavali (Sindhudurga), February 2015.
 First prize in Java Programming competition (Doubles) held at SSPM COE,
Kankavali (Sindhudurga), February 2015.
Personal
Profile
NAME : Mr. Rane Zilu Ramkrishna Sunita
GENDER : Male
D. O. B. : 11th
August, 1993
NATIONALITY : Indian
ADDRESS : At & POST- Kudal (Sangirdewadi),
Tal- Kudal, Dist- Sindhudurga.
Maharashtra, INDIA.
Pin Code- 416520
Sincerely,
(Mr. Zilu Ramkrishna Rane)

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Zilu Ramkrishna Rane

  • 1. Page | 1 | Mr. Zilu Ramkrishna Rane Kudal (Sangirde), Sindhudurga(MH), PIN – 416520 | +918446774967 | zilurrane@gmail.com | http://www.compilers.in | Objective “To utilize my skills and abilities to solve real life problems with industry that offers professional growth while being resourceful, innovative and flexible”. Executive Summary 1. Excellent analytical capacity, coding skills and documentation methodology. 2. Able to grasp most of the things easily and always updated with new technologies. 3. Command over mathematics. 4. Good team member and can multitask easily. 5. Able to handle Ubuntu very well and loves open source technologies. Technical Skills  Command over C, PHP. Languages : C, Java, PHP, Python, HTML5, CSS, JavaScript, Ajax, Shell, NLTK, LaTex etc. Databases : Oracle, SQL, etc. Frameworks : Bootstrap, etc. Tools : Visual Studio 2013, NetBeans, Eclipse,SublimeText, Atom etc. Operating Systems : Ubuntu (Top most flavours, Desktop interfaces), Red Hat Linux, Windows family, etc. Industrial Experience Fresher. Project Experience COMPILERS.IN July 2013 to Present Experience of web development. http://www.rmcet.com Currently under development Experience of web development. SEM III: Java Mini project on CBSGS (Credit Based Grading System). SEM V: Mini Project on Online Examination Management System in PHP and other web technologies. SEM VI: Mini project on CodyHouse using advance Apache configurations and web technologies. Live Project: Faculty Feedback Evaluation System, Web based application for Indira Institute of Pharmacy, Sadavali. FINAL YEAR PROJECT: “Machine Learning Approach for Sentimental Analysis of Twitter Feeds using Hadoop Framework”  Technologies Used Cloudera’s Distributed Hadoop [CDH 5.4]- Flume, Hive CentOS, Python, Java, Shell, NLTK, PHP, HTML, CSS, Bootstrap 3.2, Morris.js, Twitter Streaming API etc.  Description We extracted tweets related to user provided keyword by using Flume and Twitter Streaming API to HDFS. Then used HiveQL to to structure and query extracted tweets. We used Python Web for sentiment analysis as positive, negative and neutral classes. Analysis results were visualized on webpage using Morris.js.  Future Scope Realtime and live implementation.
  • 2. Page | 2 | I hereby declare that the above information is true to the best of my knowledge and beliefs. Date: 1st June, 2016 Workshops and Trainings 1. 16 Days in plant training at Ashida Electronics, Thane. 2. 2 Days workshop on “Ethical Hacking and Cyber Security” by Geekslab Technologies, Delhi. Academic Details GATE-2016 Qualified GATE SCORE: 415 AIR: 7623 B. E. (Persuing) : Computer Engineering Rajendra Mane College of Engineering and Technology, Mumbai University. CGPI: 9.03 (Till 7th SEM) SEM SGPI I 8.93 II 9.07 III 9.71 IV 9.00 V 9.00 VI 8.17 VII 9.36 H. S. C. (June, 2012) : Computer Science Kudal Highschool and Jr. College, Kudal, Sindhudurga(MH), Konkan, 82.67% S. S. C. (June, 2010) Kudal Highschool and Jr. College, Kudal, Sindhudurga(MH), Kolhapur, 95.27% Achievements  Conducted 20 hrs workshop on 3rd year Computer Engineering students on “Web Development using PHP”.  Paper Publication- “Machine Learning Algorithm for Sentimental Analysis of Twitter Feeds”, IJETTCS, Mar-Apr 2016, Impact Factor- 5.663.  Paper Publication- “Use of Hadoop Framework for Web Based Sentiment Analysis”, IJSRD, Oct-Nov 2015, Impact Factor- 2.39.  Second runner-up in Web designing competition held at A. C. S. College, Lanja (Ratnagiri), January 2015.  First prize in C Programming competition (Doubles) held at SSPM COE, Kankavali (Sindhudurga), February 2015.  First prize in Java Programming competition (Doubles) held at SSPM COE, Kankavali (Sindhudurga), February 2015. Personal Profile NAME : Mr. Rane Zilu Ramkrishna Sunita GENDER : Male D. O. B. : 11th August, 1993 NATIONALITY : Indian ADDRESS : At & POST- Kudal (Sangirdewadi), Tal- Kudal, Dist- Sindhudurga. Maharashtra, INDIA. Pin Code- 416520 Sincerely, (Mr. Zilu Ramkrishna Rane)