1. Sanket Mahendra Thakare
Residential Address :
B-301,Vrundawan Apartment,
Ramchandra Lane, S.V. Road,
Malad (W)-400064.
Date of Birth : 28/06/1990
Home Phone :
Cellular Phone : +91-7506211022
e-Mail :
sanketmthakare@gmail.com
YouTube Channel :
https://www.youtube.com/channel/UC
foX0cu_zxESwiL12f3GQYw
Google Scholar Profile :
https://scholar.google.com/citations?h
l=en&user=dy2cH3YAAAAJ&view_op=
list_works&authuser=1
LinkedIn:
https://www.linkedin.com/in/sanket-
thakare-b357126a?trk=hp-identity-
name
ORCID ID :
0000-0001-8743-890X
orcid.org/0000-0001-8743-890X
Education
 Master of Engineering in Computer Engineering, August 2013- March 2016, Thakur college of
Engineering & Technology, Kandivali (West), Mumbai University- Passed with 8.91 CGPI securing First Class with
Dist.
Research Topic- Extraction of Information Hidden in Large Dataset for Efficient Mining.
Thesis URI: https://drive.google.com/drive/folders/0BxJz8pAwNOSfVXhaYkVDZTlQRGc
 Bachelor of Engineering in Computer Engineering, August 2009 - August 2012, Matoshri College of
Engineering, Nasik, Pune University – Passed with 64.66% marks securing First Class.
 Diploma of Engineering in Computer Engineering, August 2006 - May 2009, P. D. Polytechnic College,
Amravati, MSBTE University – Passed with 77.86% marks securing First Class with Dist.
 S.S.C. - March 2006, Shree Ganeshdas Rathi Vidyalay, Amravati- Passed with 77.86% marks securing First
Class with Dist.
Professional Experience
Total Teaching Experience: 8 Months
 Thakur College of Engineering & Technology, kandivali (E), Mumbai, 15/10/2014 – 14/06/2015.
Teaching Assistant: Worked as Teaching Assistant in Computer department of TCET, 15-10-2014 to 14-06-2015.
Total Industrial Experience: 1 Years 3 Months
 E-build Software and Solutions Pvt.Ltd, bandra (E), Mumbai, 08 /07/ 2015 – Present.
Software Developer: Currently Working as Software Developer in App Development Department.

2. Projects
1. Project : Inke PowerChat
Inke PowerChat is a power-packed chat that will revolutionize the way you chat. It's no ordinary chat
because for the first time ever, you will have the 'power to do more'. With a host of cool, unique and easy-
to-use features, you’ll wonder how you ever managed with your existing chat. So, whether it is about
scheduling a message or retracting one wrongly sent; having multiple, customized profiles or assigning
labels; translating messages in any language or sending a time-out message - you can do all of this and
more with Inke PowerChat.
Environment: Ejabberd 15.07,Erlang, Amazon Web Service (AWS).
Video URI: https://www.youtube.com/watch?v=6E41hgHNRuc
Responsibilities:
1. Ejabberd installation and configuration on AWS instances.
2. Writing custom modules for ejabberd server.
3. Configuring ejabberd to talk to MySQL database.
4. Performances tuning of ejabberd server.
5. Ejabberd Clustering on AWS for improved scalability.
6. Configuring AWS MySQL RDS (Relational Database Service).
2. Project: Extraction of Information Hidden in Large Dataset for Efficient Mining.
The proposed work provides an improved PrePost algorithm which overcomes the problems faced by
existing PrePost. It reduces the time required to process large datasets. The improved PrePost algorithm
is parallel algorithm based on Hadoop framework. It uses the technique of bringing computation to data
has made it possible to process large datasets at high speed. MapReduce which is a simple distributed
programing used to implement improved PrePost algorithm in distributed environment. It provides a
distributed environment for execution and makes the improved PrePost algorithm capable of handling
large datasets. The efficiency of improved PrePost algorithm is enhanced by implementing compact PPC
tree with the general tree method and finding frequent itemsets without generating candidate itemsets.
The proposed algorithm implementation with Hadoop gets the advantage of fault tolerant, reliable, and
highly scalable. An architecture of the improved PrePost algorithm with public cloud Amazon Web
Services is also proposed to make it easy to use and process data on cloud. The results show that as dataset
size is increased, the improved PrePost algorithm gives 14.13% better performance as compared to
PrePost and 60.70% better performance as compared to Parallel linked list-based FP-Growth.
Environment: Hadoop, Amazon Web Service, S3 Storage and EC2 .
Video URI: https://www.youtube.com/watch?v=1FzbDW--wVU
Publications
1. Sanket Thakare, Sheetal Rathi, “A Survey on Hadoop Load balancing Algorithm”, Multicon-W 2015 (ICWCCV 2015),
vol 1, pp.254-257, ISBN: 978-0-9884925-7-8, February 2015.
2. Sanket Thakare, Sheetal Rathi, R. R. Sedamkar, “An Improved PrePost Algorithm for Frequent Pattern Mining with
Hadoop on Cloud”, Procedia Computer Science, Elsevier, Vol 79, 207-214, December 2015.
3. Sanket Thakare, Godson Dsilva, Vinayak Bharadi, “Real-time Processing of IoT Events using a Software as a Service
(SaaS) Architecture with Graph Database” , IEEE Conference on Computing, Communication, Control and
Automation, August 2016.
4. Sanket Thakare, Ashwini Patil, Ashraf Siddiqui, “The Internet of Things – Emerging Technologies, Challenges and
Applications”, International Journal of Computer Applications, September 2016.

3. Software Proficiency
 Languages: C, Angular JS, Node.js, RESTful API, JSON, JavaScript, Java, Erlang.
 Database: MySQL, MongoDB, AWS RDS.
 Technologies: AWS Services, Hadoop, Ejabberd 15.07.
Certifications
1. Unisys InfoTech Corporation Certification in C Language.
2. NEWEL Education & Welfare Society Certificate in Core Java.
Research Grants
 Received Microsoft Azure Research Grant: 21th
September 2016
Received Microsoft Azure Cloud Access Research Grant of $20000 for 1 year.
The estimated total market value of this Grant is USD $20,000 (13.2 Lakh Rupees).
Extracurricular Activities
1. Industry Expert Person for the Two weeks STTP on “Tools and Technology”, Organized by TCET
for teaching staff at Thakur College of Engineering and Technology, 14th
Dec 2015 to 24th
Dec
2015, Delivered a session on “Cloud Computing and Big Data analytics”.
2. Participated in AICTE Sponsored National Seminar on “Academic Excellence Through Quality
Technical Education – Opportunities & Challenges” Organized by TCET, March 2014.
3. Participated in Engineering Colloquium organized at Thakur College of Engineering and Technology,
March 2014.
4. Worked as Teaching Assistant in Two Week ISTE Workshop on “Introduction to Design of
Algorithms”– 2 Weeks Workshop
Organized by IIT Bombay, MHRD Funded by NME-ICT, 9nd
July to 20th
July 2014.
5. Running a Channel “Sanket Thakare” on YouTube for educating people on Emerging Technologies.
References
Dr. Rekha Sharma
Associate Professor, Head of Department - CMPN.
Thakur College of Engineering & Technology.
Kandivali (E), Mumbai – 400101
Phone: 022 - 28461891 / 92
E-mail: rekha.sharma@thakureducation.org
Godson D’silva
Assistant Professor,
St. John College of Engineering,
Palghar(East), Maharashtra
Phone: +91-8698877587
E-mail: dsilvagodson@gmail.com
Mr. Paresh Dalsania
Head – Software,
eBuild Softwares and Solutions Pvt. Ltd.
Capri, 1st Floor, Bandra (East), Mumbai-400051
Phone: +91-9819939794
E-mail: paresh.dalsania@interactive.in
Mr. Sagar Chaniyara
Project Manager
eBuild Softwares and Solutions Pvt. Ltd.
Capri, 1st Floor, Bandra (East), Mumbai-400051
Phone: +91-9820322490
E-mail: sagar_chaniyara@yahoo.co.in

4. All the above furnished information is true.
Date: / /
Place: Mumbai
Mr. Sanket Mahendra Thakare.
Software Developer,
App Development Department
eBuild Softwares and Solutions Pvt. Ltd.
Capri, 1st Floor, Bandra (East)
Maharashtra, India
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