Introduction

Introduction
        My name is Sushanth Manakhari. I live in Erie, PA. My interest in the information technology realm sparked during my undergraduate course. I enrolled in a Data Mining and Application course at my undergrad university in 2007. The purpose of joining this course was to acquire a holistic understanding of data science, including identifying, analyzing, and solving analytics problems. These tools allow for better business intelligence and decision support. This course was an eye-opener for me. It taught me the power of exploring data analysis and statistical modeling. I then moved forward in my formal education and completed my Master of Science in Computer Science at Texas A&M University in 2016.

Recently I read the book StrengthsFinder 2.0 by Tom Rath and took up the strength finder test. I was surprised to see the top 5 strengths are Futuristic, Ideation, Developer, Learner, and Strategic. The book says for futuristic, People exceptionally talented in the Futuristic theme are inspired by the future and what could be. They energize others with their visions of the future. This statement was so relevant to this coursework. I am very excited to indulge in this and see how I can utilize it towards my dissertation and research ideas. The ideation strength was on par with futuristic strength. The ideation works if we have creative and futuristic thinking.

I have served 11 as a Senior Software Engineer, Data Analyst, Technology Lead, and Subject Matter Expert in Finance and Insurance verticals within my career. After my graduation, I began working for a fortune 500 insurance company. They boast over 5,000 employees and over 5 million active policies in force with diverse business lines such as commercial, life, personal, and auto insurance. Within my career, I have obtained ample hands-on experience in R, Tableau, SQL, Java, JavaScript, Informatica, UNIX, and Mainframe languages (PL/I, COBOL, JCL). I also have experience in ground floor data modeling for insurance applications.

With my experience working for Finance and Insurance clients, I have acquired an excellent grasp of insurance business data and its applications. This data typically consists of information about an individual, their medical history, household structure, driving history, the geography of the insured holdings, vehicles, and claims. Once collected, Insurance companies could potentially use this data to find prospects, up-sell and cross-sell policies, detect claim fraud, and determine the risk of policyholders.

Currently, the utilization of this data in underwriting and actual business functioning is quite minimal. I have striven to analyze and optimize how data used within an insurance company could bring more value to customers, agents, and parent companies. However, almost all insurance companies have a wealth of data and only use it minimally in the decision-making process. In the future, I would like to apply my education by analyzing how this vast amount of data can be used to instigate the positive growth of companies.            

I would be using some futuristic thinking and ideation for my dissertation work to draft some solutions to the data problems.

Comments

Post a Comment

Popular posts from this blog

Socio-Technical Systems In Big Data & Artificial Intelligence

Socio-Technical Systems In Big Data & Artificial Intelligence Introduction Before they knew that big data was present, the planet was rooted in big data. Big Data had gathered many processed data when the word was invented and might reveal useful information into the market with which the specific data contributed if studied. The work of screening, scanning, and analyzing all this data for making business decisions is too much for people to do. IT experts and IT scientists soon discovered that. The tremendous challenge of gaining knowledge from uncertainty should be created using artificially intelligent algorithms. Companies will be forced to extend their data analytics and AI capacities in the years ahead, to the extent that all of our laptops, handheld smart devices, and the Internet of Things (IoT) gadgets will collect data for their enterprise analytical specialist or data analytics leaders. The Internet now offers a degree of specific knowledge, unimaginable a decad...
Read more

Benefits of Big Data Analytics

Benefits  of Big Data Analytics      Big data has the principal benefit of large-scale analytics. Using cloud-based big data processing, companies can further analyze the vast quantities of organized and unstructured data available. The cloud's simplicity makes it perfect for analytics with large data. Cloud computing is also much easier for businesses to use than big data services formerly used by enterprises. In addition, the cloud simplifies data integration for organizations from different sources. When businesses move their processes and Big Data Analysis into the cloud, competing companies have important financial advantages. This is because businesses need to achieve and retain large data centers that will rob their IT budgets by doing on-site Big Data Analytics. This burden is shifted to the cloud provider as you switch to the cloud. You are not leaving the Major Data Centers in-house. This ensures that you will reduce your trust in the local resources by kee...
Read more

Common Object Request Broker Architecture (CORBA)

Common Object Request Broker Architecture (CORBA)      In this discussion post, I would like to talk about distributed systems in robotics and building analytical models. Robotics and modeling always fascinated me. I also believe they are crucial players for our future, to reduce our time and effort spent on major tasks. After reviewing many videos and studying articles, I would like to discuss the architecture and the major programming language platform these robots and models are built. It's popularly defined through the object management group (OMG) and pursuits to facilitate conversation among deployments/working systems throughout distinct structures. CORBA verbal exchange may be completed among software programs written in one-of-a-kind languages and running on exceptional computers. CORBA supports collaboration among systems related to distinct working structures, programming languages, and computing hardware. CORBA uses Interface Definition Language (IDL) to speci...
Read more