Madhumathi Kannan is seeking a job applying her skills in business and technology. She has experience in media planning and analysis. She has certifications in Oracle and skills in Java, SQL, databases and data analysis tools like SAS Enterprise Miner. She is pursuing an MBA/MS in Management Information Systems from Texas Tech University with experience developing business and predictive models.
Energetic and result oriented professional with 2.2 years of hands on experience as Software Engineer Extended expertise in JAVA/J2EE and Web-application development using JAVA/J2EE (Spring MVC & Hibernate) , having good understanding of OOPs and Database concepts with deep understanding of technology with focus on delivering business solutions requirements , Highly ethical and trustworthy.
I have 1.8 Years of experience in devising IT solutions for improved business efficiency and bespoke client-facing services. A great communicator who takes great pride in finding the right solution for difficult problems.
Energetic and result oriented professional with 2.2 years of hands on experience as Software Engineer Extended expertise in JAVA/J2EE and Web-application development using JAVA/J2EE (Spring MVC & Hibernate) , having good understanding of OOPs and Database concepts with deep understanding of technology with focus on delivering business solutions requirements , Highly ethical and trustworthy.
I have 1.8 Years of experience in devising IT solutions for improved business efficiency and bespoke client-facing services. A great communicator who takes great pride in finding the right solution for difficult problems.
B.tech computer science graduate with good knowledge on java se, sql and having hands on 2.1 years of experience in Manual,database and Automation Testing.
B.tech computer science graduate with good knowledge on java se, sql and having hands on 2.1 years of experience in Manual,database and Automation Testing.
Certified Management profession with experience in Management, Services, Operations, Development and Implementation of commercial applications (Banking, Retail, and Insurance).
I am having 6 years of experience in Java Programming.Involved in building Java web applications which are scalable for cloud infrastructure.Good experience in RDBMS database and NOSQL database MongoDb. Good knowledge in REST API design.Worked in Business Intelligence,Financial domain.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
1. 3102, 4th Street
Apt # 30-W
Lubbock, Texas- 79415
Email: madhumathikanan@gmail.com
madhumathi.kannan@ttu.edu
Phone:425-241-6025
MADHU MATHI KANNAN
CAREER OBJECTIVE
To apply my skills and ability in order to achieve the business and organizational goals, be resourceful and innovative to become an important part of the talent pool for the company I work for.
PROFILE HIGHLIGHTS
Oracle Certified Professional Java SE Programmer(OCP JP)
Through knowledge of Java EE Web Component and EE Business Component Development(Enterprise Java Beans).
Good background in SQL,PL/ SQL and reporting functionality.
Knowledge in Database performance monitoring, Diagnostic and Tuning, Backup and Recovery, managing users and security
Oracle Database 10g Administrator
a. Complete knowledge Oracle Database, SQL and Oracle Database 10g: Administration I
Capable of Managing incidents, proactive in terms of preventive maintenance and knowledgeable in terms of risk management.
Expert in SAS Enterprise Miner in model development and evaluation.
2 years experience in media field, proven media skills. Have been involved in various media projects involving media planning, quality control, Data analysis, negotiations and result analysis. Proficiency at grasping new technical concepts quickly & utilizing it in a productive manner. Believes in continuous learning and possesses an innovative approach. Possess analytical thinking and innovation & problem solving ability.
Ability to thoroughly interpret customer business requirements and transform them into applications and other operational requirements.
Excellent verbal and written communication skills and the ability to interact professionally with a diverse group of executives, managers, and subject matter experts. Quick learner with the ability to work under pressure and meet deadlines. Excellent client servicing skills. Effective in supporting customers, managers and team members in fast-paced environments. Well versed with C, JAVA(Core & Advanced), Servlets, Oracle 10g,and database query languages.Experience in working on Linux based systems
Expert in MS Office Excel.(Data Generation and Analysis) and Business Report Generation.
2. PROFESSIONAL EXPERIENCE
Lodestar Universal (India Nov 2007 – Oct 2008)
Position held : Media Planning Executive
Scheduled and managed several media campaigns effectively for Kohinoor condoms, Hindu Business Line Paper, Club Mahindra and Zest
Part of the core planning team which played a lead role in launching of Durex Apple, Zest Big Beach and Kohinoor Pink Condoms re-launch.
Delivered weekly, monthly and quarterly reports and analyses to executive managers and field staff, detailing costs and results of media and marketing plans.
R K Swamy BBDO Pvt Ltd (Media Direction) May ’07 - Oct ‘07
Position held: Management Trainee
Performed pre and post media evaluation for clients like BSNL, Godfrey Philips and Hamdard
Evaluated and compiled a complete report on various radio stations and recommended their use in media campaigns for various clients.
TECHNICAL SKILLS
Operating System: Windows 7/8, Android, Linux, Mac OSX
Design Methodologies: UML-Database-centric.
Languages: C, Java,SQL,PL/SQL.
JEE Technologies : JSP, Servlets, EJB Web Technologies: HTML, CSS, JSP, SERVLETS, EJB, JDBC, JAVA SCRIPT, XML.
Databases: Oracle Database Server 10g,Microsoft SQL Server, MySQL.
Tools: Eclipse,Netbeans,MS Office, Photoshop,Coreldraw,Flash,SAS Enterprise Miner.
ACADEMIC PROJECTS
Texas Tech University Lubbock,TX,United States
Graduate Student
Business Model April 2013
The goal of the project was to outline the product/service design, process design, competitive strategy, locations where the product or service would be available.
Developed a complete Business Model incorporating concepts from operational management..
Developed several simulation models as part of the project.
Predictive Analysis using Data Mining May2013 The objective of the project was to follow complete project development lifecycle to build a predictive model to analyze patterns and suggest YouTube videos to users based on their previously viewed videos.
3. Data preprocessing using SAS Enterprise Guide. Pattern discovery analysis using SAS Enterprise Miner.
University of Madras Chennai,Tamil Nadu,India
Graduate Student
Completed Thesis on topic “ In Film Advertising”
Have been a part of PR campaign” Chennai Idhu Namma Oooru” held in 2007.
Was part of the core team for the shortfilm “The beginning of an End “which won the best short film award in MOP Vaishnav College for Women 2007.
Done several shows for our College Community Radio, which was aired on MOP CRS (107.8)
Contributed several article for college news paper “ MOP Yuvashakthi” which got published
EDUCATION
MBA/MS Management Information Systems, TEXAS TECH UNIVERSITY [GPA: 3.2/4.0] Lubbock, TX, United States Aug 2012-Present
Expected Graduation Date: May 15th 2015
Relevant Courses: Data Mining and Texting, Data management & Business Intelligence, Business Analytics and ERP systems, Database Concepts,Systems Analysis and Design,Statistical Concepts for Business Management, Financial Management Concepts and Tools, Strategic Management, Decision Theory,Operations Management & Management Science, etc
Masters of Art in Communication, UNIVERSITY OF MADRAS (India)-[ GPA:3.9/4.0]
June 2005 - April 2007
Relevant courses: Journalism, Communication, Advertising and Public Relations
Bachelor of Science in Electronic Media , UNIVERSITY OF MADRAS ( India) [GPA :3.7/4]
June 2002 - April 2005
Relevant courses: Electronics and Communications, Video production, Audio Production, Mass Communication, Principles of Journalism, Media Laws and Ethics
REFERENCES
Available upon request