HARSHAVARDHAN ACHREKAR

** ***** ******, *** # *, Lowell, MA 01851. abo0ol@r.postjobfree.com +1-978-***-****. Website

: www.hdachrekar.com

OBJECTIVE:

To obtain a Co-op/full-time position in the field of Computer Science.

EDUCATION:

Ph.D. (Honors), Computer Science, University of Massachusetts, Lowell. [GPA-3.6/4] [June

2012]

Master of Science, Computer Science, University of Massachusetts, Lowell, USA. [Dec 2008]

Bachelor of Engineering, Information Technology, University of Mumbai, India. [2004]

SKILLS:

Languages C, Java, C#, C++, PHP, Visual Basic, VB.Net and Socket Programming.

RDBMS SQL Server 2000, SQL Server 7.0, MySQL, DB2, Oracle 8i Edition (SQL).

Platforms MS-DOS, Windows (9x, XP, 2K, NT 4.0, 2003, Vista), Windows Mobile, Linux, Mac

OS X.

Web Technologies Ajax, Dojo, i-widget, IBM Mashup Center, ASP.NET, ADO.NET, ASP 3.0,

COM+, HTML,

XML, XML Web Service, XSD, Reporting Services, VB Script, Java Script, DHTML,.

Tools R package, Weka, GnuPlot, MatLab, Easy Eclipse (Java Server), Visual Studio.Net

(Professional + Express) edition, Visual Interdev, Flash MX, Photoshop 6.0, SourceSafe.

PH.D. RESEARCH

Project Social Network Enabled Flu Trends (SNEFT) is a framework developed with the

research objective of

extracting and utilizing information from keyword-frequency data obtained from Facebook

and Twitter, to provide

timely prediction of the emergence and spread of an influenza epidemic with emphasis on

Text Classification,

Statistical Modeling and Prediction, trends identification and measure dynamics of

participatory network.

RESEARCH PUBLICATIONS :

? Online Social Network Flu Trend Tracker - A Novel Sensory Approach to Predict Flu

Trends

Harshavardhan Achrekar, Avinash Gandhe, Ross Lazarus, Ssu-Hsin Yu, Benyuan Liu

Lecture Notes series - Communications in Computer and Information Science publisher

Springer-Verlag.

? Twitter improves Seasonal Influenza Prediction. (HEALTHINF 2012 - Best Student Paper

Award)

Harshavardhan Achrekar, Avinash Gandhe, Ross Lazarus, Ssu-Hsin Yu, Benyuan Liu

Fifth Annual International Conference on Health Informatics, Portugal, Feb 12.

? A Spatio-Temporal Approach to the Discovery of Online Social Trends.

Harshavardhan Achrekar, Zheng Fang, Benyuan Liu, You Li, Cindy Chen, Jie Wang

Fifth Annual International Conference on Combinatorial Optimization and Applications

(COCOA), Aug 11.

? Predicting Flu Trends using Twitter data.

Harshavardhan Achrekar, Avinash Gandhe, Ross Lazarus, Ssu-Hsin Yu, Benyuan Liu

International Workshop - Cyber-Physical Networking Systems(CPNS), Shanghai, IEEE INFOCOM,

Apr 11.

? Vision: Towards Real Time Epidemic Vigilance through Online Social Networks.

Lingji Chen, Harshavardhan Achrekar, Benyuan Liu, Ross Lazarus

First ACM Workshop-Mobile Cloud Computing & Services: Social Networks & Beyond, MobiSys,

Jun 10.

PROFESSIONAL EXPERIENCE:

Software Application Developer, IBM Inc.-Lexington, MA, USA. [Jun 08Dec 08]: Developed

and deployed a

PHP based web application using Zend Framework on the IBM Websphere portal which drops i-

widgets onto its

canvass and connects them to data sources to pull software product pricing data out of

feeds which are hosted

within the IBM Mashup Center/Hub. Technologies relevant to Web 2.0 such as Ajax, Mashups,

i-widgets, gadgets,

Dojo, crawling/scrapping, RSS feed and Atom were used.

Research Assistant, University of Massachusetts Lowell. [Jun 07May 08]: Developed

and maintained an

ASP.Net web-based application Emswebware that enabled any institution, organization or

agency the ability to

develop and manage an Environmental Management System (EMS) or ISO 14001 program.

HARSHAVARDHAN ACHREKAR

Research Assistant, University of Massachusetts Lowell. [Jan 07May 07]: Developed

and maintained an

ASP.Net web-based application CVIP Portal that kept track of all patent and research

information regarding any

technology commercialization.

Student Employee,

University of Massachusetts Lowell. [Sept 06Dec 07]: Developed a

standalone desktop

solution CuteUploadUML which uploads/downloads huge files to/from the server in the

form of a drop box.

Executive (Project Application- Information Systems), Bharat Petroleum Corporation

Limited (BPCL Fortune

500 Company) [Jul 04 Jul 06]: Responsibilities included project management,

administration of servers and

maintenance of client - server applications. Actively involved in analyzing, designing,

developing, testing and

deploying web applications. Main applications developed:

Bharat Petroleum Retail Outlet Automation Project

(

2005-2006): Under the guidance of

Microsoft Evangelists, an in-

house application was developed for capturing the sales data from BPCL S retail outlet.

OLAP cubes were created

using Analysis Services and reports were generated using Reporting Server to notify

territory managers.

BP-Legal Package and Asset Declaration Package (2004-2005): Both packages were developed

in .Net and SQL 2000

making use of OOP s concepts, stored procedures, COM+ components and web services.

ACADEMIC PROJECTS:

Real-Time Text Classification Software using WEKA [Sept 11 Dec 11]: Machine Learning

tool build in Java

using WEKA library to classify using SVM unsupervised data, based on trained dataset

using certain accuracy.

Graph Compression using Triad 300 (GC300) [Sept 10 Dec 10]: Graph compression technique

for massive real

world graphs which obey power law and small world properties.

Scatter Plot - Graphing tool [Jan 10 May 10]: Developed a Scatter Plot tool in C#.Net

(Instruction Manual and

Interface design) and performed analysis on two Dataset(Cars dataset and Twitter dataset)

followed by Binning,

Normalization and Imputation performed on data.

Social Network Enabled Flu Trends - Data Visualization Perspective [Jan 10 - May 10]:

Implemented the timeline

based Flu distribution on USA map, Tabular Heat-map, network layout based visualization

for Flu data using R

package, Weka, Graphview to establish social network parameters of diameter, degree

distribution, assortativity.

Predicting protein interactions from amino acid sequence [Jan 09 May 09]: Investigate

the use of machine

learning classifiers such as Decision Tree, Bagging, Boosting, SVM, and Random Forest on

protein interaction data.

K-Mean Clustering Algorithm [Jan 08 May 08]: Implemented K-Mean clustering algorithm

using C++ and

OpenGL graphics Library to present the clustered data.

Car Manufacturing Database [Sept 07 Dec 07]: Designed and implemented an E-R diagram

and queried the

ORACLE 9i database to retrieve required information.

UML Video Streaming Server [Jan 07 May 07]: A client server implementation in JAVA that

streamed RTP video

packets from the university department server to multiple clients.

Socket Programming [Sept 06Dec 06]: Implemented an HTTP Client-Server program in C.

Dijkstra s shortest path algorithm [Sept 06 Dec 06]: Implemented in C a program for

calculating shortest path for

network packets travelling from source to destination.

Defense against Distributed Denial of Service Attacks (DDOS) [July 03 May 04]:

Implemented an intelligent

modular software router to collect and maintain statistical data which helped in

preventing DDOS attack.

Crop Cultivation Feasibility using Genetic Algorithms (GAs) [2003]: Developed software

which predicts the

growth characteristics of the plant after successive generations using GA s based on

environmental factors.

AWARDS AND CERTIFICATIONS:

? Outstanding Graduate Student Award at University of Massachusetts Lowell - 2012

1st

? Prize at Students Forum for Electronics for technical paper - Auto Updating Knowledge

Based

Intrusion Detection System 2004.

? Recipient of the J.R.D. TATA Scholarship 2001-2002.

? Completed training on Interconnecting Cisco Network Devices (640-801)

? Training on 3 levels of Administration System, Network and Enterprise in Red Hat

Linux Fedora.

? Diploma in Visual Basic 6 and Oracle 8 with Dual Certification in Graphics and Web.

? UMass-Lowell Ping Pong Champion 2011 represented University at National Table Tennis

Competition.

Contact this candidate