WhenI started my undergraduate degree in mechanical engineering, my freshman yearwas the “chimera” phase of my university education.
My motivation towardpursuing the degree was based on a “seemingly” simple plan—to study hard andapply my knowledge of the mechanics to cause and find a breakthrough in thefield. My naivety was soon curtailed by the fact that all the major inventionsin the field have already been made in the past decades, and the era that I amborn in has a different purpose—focusing on improving operation efficiency andquality management to promote sustainability. I started gaining interest in thefield of statistics and opted for statistical quality control as my elective injunior year. This course helped me understand data analysis and usage methods, suchas Pareto chart analysis, Box-Cox transformations, Six-Sigma analysis, andDMAIC, to improve quality control of manufactured products. I learned theimportance of data in every realm of an organization—strategic, operational, andresearch and development, as well as business as a whole. Ifirst stumbled upon the subject of business analytics while listening to alecture by Prof.
Dimitris Bertsimas, who talked about using k-nearest neighborand linear regression models to develop machine learning algorithms, whichcould be used to evolve the predictive nature of a method to a prescriptiveanalytics solution. It was mesmerizing to see how he could use the method topredict sales of an entertainment company while also prescribing weeklystrategies to optimize the sales. Looking at the range of areas where thesemodels could be applied, I clearly understood that this is what I want to do inmy life. Duringthe summer of 2016, I joined Eicher Tractors Mandideep to complete myindustrial training on “Total Productivity Maintenance.” I worked in theproduction department where we performed a Kaizen analysis to evaluate theeffectiveness of clutch plates with respect to safety and thereby developed aproposal for a new design for a friction ring with an enhanced safety factor.This was my first experience as an analyst in an industrial settingAuthor1 .
Formy undergraduate thesis, I worked on a project titled “Understanding of the Mechanismof Fault Detection of Defective Bearings with a Machinery Diagnostic System.”Under the supervision of our faculty advisor Dr. Manish Vishwakarma, I, alongwith my team, developed a time–frequency waveform equation using the fast Fouriertransform. We used this equation to pinpoint the location of a defect in a ballbearing using a machinery diagnostic system. Using our equation, we couldpinpoint that the defect was in the inner race of the bearing. The projectinvolved analysis of vibration waveforms produced by the bearing,identification of non-synchronous harmonics and sidebands, and an analysis ofthe original waveform.
Working on this project substantiated my interest indata analysis. Alongwith my academics, I was also an active participant in college extramurals. Duringmy freshman and sophomore years, I was exploring my interest in theatre andstreet plays. Through the medium of art and by portraying the content in aclear and captivating manner, I was provided with a platform that helped me exploremy ability to understand the origin of social evils, look into the psyche ofthe common man, and explore ways to suggest solutions to these social issues.In 2014, when I was in my sophomore year, I joined AIESEC India, an NPOfocusing on exposing students to international internships as a member of theOutgoing Exchange.
In the summer of 2015, as a part of my relations-managementresponsibility, I travelled to Cairo, Egypt, to improve the relations betweenAIESEC Indore and AIESEC Cairo University; this move saw me manage relations betweeninterns and the incoming exchange students in both cases. Travelling to Cairohelped me open myself to the international culture, and staying with a group ofstudents from various parts of the world for 45 days really helped in my personalitydevelopment. I would certainly put it down as a life changing experience. Aftergraduating in May 2017, I joined SG Analytics Pvt. Ltd. as an associate analystin the business research and consulting division under the supervision of Mr.
Ritwik Dey (Director ICT, Content Strategy and Business Consulting). Myinterest in business analytics piqued after I started working for clients fromvarious business ventures across the world. Since it is an ad-hoc consultingsetup, I got to work on cryptic business requests that included product orsector benchmarking, competitive intelligence, go-to-market strategy development,consumer survey analysis, market sizing, and growth-forecasting. Apart from myjob description, I also got a chance to work with the operations team to helpidentify bugs in the ERP and HRMS portals and suggest possible solutions toimprove their MIS reporting, thus, helping improve the operations of theorganization. Basedon my research, it is evident that the Carl H.
Lindner College of Business at theUniversity of Cincinnati offers one of the best programs for an MS in business analytics.The state-of–the-art infrastructure, academic prestige, and a culturedenvironment of bright, like-minded individuals is the main reason why the Universityof Cincinnati is my ideal choice. I was particularly intrigued by Prof. RogerChiang’s ongoing research on consumer-generated product review mining toautomate market structure analyses.
Due to my prior experience in productbenchmarking, consumer survey analysis, and competitive intelligence, I believethat I would be able to add value to the project by contributing some of my insights. The limits of what business analytics can solve orunravel have expanded dramatically in the past few decades. I think that thereis an even bigger revolution upcoming, and my goal is to be a part of thehybrid scientific–business community that brings it forth. I believe that Ihave the passion and dedication needed to excel in further studies in my field.The knowledge and exposure that I gain during my tenure at the university willbe indispensable to my career in research.
Pursuing an MS is, thus, the most rationalprogression for me to advance my studies. I am committed to put in my bestefforts and feel more than prepared for the challenges of a master’s program.Finally, I am thankful to the admission committee for taking the time to readmy application and hope that I am considered for admission in the fall of 2018.