With vast amounts of data now available,organizations in almost every industry are focused on exploiting data forcompetitive advantage. Additionally, the broad availability of data has led toincreasing interest in new methods for extracting beneficial information andknowledge from data. I am amazed by what today’s large volume of data andcutting-edge technology could achieve, helping individual or organization tomake wise decisions, and improving and optimizing the existing process in anunprecedented way.
Analyzing the current statistics of exponentially increasingdata, information flare has started becoming a pressing concern and recentstudies uphold that the amount of digital information would increase tenfoldevery five years, which seems reasonable, considering 1.2 million newdata-producing social media users each day. Hence, the only way to realize thevalue of this deluge of data is Data science which provides a new paradigm totackle these vast accumulations of data.
In fact, data-driven analysis has been also widelyused in security, healthcare, business, agriculture, transport, education,prediction, telecommunication and every possible industry where data getsgenerated. As one might imagine, the use of data science will become more ubiquitous.Due to such diverse scope to leverage our lives through Data Science is one ofthe many reasons for my curiosity to study more about it and would be a logicalculmination of my passion for solving such problems through data analytics. My penchant for analytics was evident right fromhigh school and before long during my undergraduate studies, I was exposed tocourses like Numerical Techniques, Logic design, Probability-Random Processesand Computer Architecture, Organization & Algorithms, where I developed aninterest in programming in liaison with mathematical and statistical logic.Progressing towards my final year BE project, where I chose to work on an idea’CMOS Camera to Embedded Image Processing’ which enabled utilization of a CMOSCamera to wirelessly transmit a bitmap image and induce FPGA image processingalgorithms using C#. After instituting a firm foundation through myacademic digest, it was time to dive in the data-centered economy, where Iprocured professional experience at Accenture and Deloitte. I have over 7 yearsof experience and currently positioned as Senior Consultant at DeloitteConsulting in their Analytics and Information Management service line. I haveextensive experience in building enterprise-wide data strategy roadmap, designingand implementing complex business technology solutions in Analytics and DataWarehousing and Decision Support Systems in Financial Services Industry alongwith broad functional expertise in Insurance, Credit Card, and Banking,Investments, and Loan Servicing industry.
Through my career in consulting withDeloitte and Accenture I have had the opportunity to lead, architecting, andimplement large scale Finance Transformation Data Warehouse initiatives acrossindustries for Fortune 500 clients, where I have lead data analytics,integration, conversion, upgrade and migration initiatives to enable dataintegration capabilities to create a foundation system of record for reportingand analytics with scalability and flexibility to support the changing business.The end to end implementations involved leading the core Data Integration Hubsolution architecture with a scalable and re-usable generic business ruleengine, Audit and Reconciliation and Exception and Error components withintegration to Master Data Management and Data Governance capabilities. My experience and focus area have been dataintegration; master data management; data governance; data modeling withvarious case tools; developing multi-dimensional data warehouses; enterprisereporting – static, ad-hoc and analytics. Using the above experience andskillsets, I have been able to make strong client impacts by leadingimplementation of next generation Data Architecture to help design andimplement scalable, source system agnostic and harmonized Data IntegratedOLTP/OLAP systems and Business Transformation Hubs using various Data modeling,Data integration (ETL), Relational – Row & Column DBMS and enterprisereporting tools.Altogether, being professionally acquainted with elementary concepts ofData Science, I wish to pursue my Master’s in Data Science at IllinoisInstitute of technology, as it supplies a program with an emphasis onScientific Approach and Practical experience.
The curriculum provides a proper unificationof both technical and computational courses like Machine learning,Data-Intensive Computing and Cloud Computing which will refine my currentcapability. The relevance of the program to my specific interest with strongindustry opportunities at Chicago, remarkable faculty and a strong emphasis onresearch will aid me in realizing my potential to the fullest. Along withtechnical expertise, it will provide me with cohort experience and ability tothink about real problems which are conducive to my development as aprofessional.