Graduate /
Personal statement - Master in Analytics - Descriptive analytic to improve businesses' efficiency [13]
@Holt
Oh dear, I feel incredibly dumb. I'm still not sure what you meant but I give it a try anyway. Please let me know if the essay at the end of this thread is in the direction of your suggestions. Please notice that it is now quite lengthy with lots of run-on sentences. Please check the content first. If it's alright, I'll clean it up.
I summarize your suggestions as following only to make sure that I understand you right. Please let me know if I'm totally off. Your suggestions are:
+ When discuss strengths, stick to the academic overview of the discussion. Focus on strong subjects and abilities : I try this at paragraph 4
+ How university caught your interest and offers academic programs relevant to your masters degree: my last paragraph and second to last
+ Relevant training information: paragraph 2, 3, 4
+ Descriptions of your duties and responsibilities: paragraph 2, 3, 4
+ Discuss the weakness as a possible strength: I cannot think of one but I indicate my weakness as something that can be fixed by the graduate program
Thank you very much. You are a great help as always.
My Goals, Strengths, and Weakness As an Analytic ProfessionalMy goal is to help businesses improve their forecasts...
I wish to work on improving predictive models after seeing the impact of forecast accuracy on businesses' waste. After college, I worked at Nhon Trach Packaging JSC - a plastic bags manufacturer - as the production director's assistant. My main responsibility was to clean, analyze, and apply statistical tools on production data to provide managers an informative view on daily production outputs and defective part amounts. I traced each production stage to determine which produces the most defects and detect improvement on each stage's result. I observed that more than twenty percent of production waste resulted from unexpected demands disrupting operations. This twenty percent translates to approximately 300 tons of plastic that could have been saved. The potential financial and environmental benefits are enormous. Therefore, I have been very interested in designing predictive models to help businesses better prepare for the future. This way, production will no longer has to chase after demands. I am also interested in unfolding forecasts' implications to help businesses use forecasts to solve problems. As I possess background knowledge related to optimization and simulation, I intend to incorporate these skills to assist businesses to make better decisions based on predictions.
I decide to pursue a Master of Science in Analytics to further develop my skills and learn the advanced knowledge I could not obtain through work or undergraduate studies. After leaving Nhon Trach Packaging as its products contrast my passion for sustainability, I worked as a Project Administrator at Hella Vietnam Co. Ltd., a member of the Hella Group - a German automotive company. My main responsibilities were to forecast the engineering department's future capacity which is measured by the unit of working hours. I built a regression forecasting model to predict future working hours from analyzing historical data. The model results were used to plan for future months' resources. Although I succeeded at creating simple forecasting models, I have not learned to model complex problems such as building market demand forecasts. This is when I recognize the need for higher education.
My strengths are my interdisciplinary knowledge. Besides analytical knowledge, I excel in the topics of computer programming, optimization, simulation, and business. The skills that are deemed to be most important for analytic professionals. I possess strong foundations in statistics. In fact, I was one of the two tutors chosen by my department to tutor statistic and operation research because of my academic excellence. While working at Hella Vietnam, I further improve my programming participated in inter-department projects to consult and develop VBA programs to answer their needs for data analysis and management. I am experienced in dealing with businesses' needs from working in the management office of several different companies. Therefore, I am more keen on designing solutions that are both practical and compelling to businesses. With my knowledge, I believe that I will bring interesting insights regarding global business to the classrooms at Oklahoma State University. Furthermore, I am fascinated with extracting information from raw data.
My greatest weakness is the lack of knowledge about propriety statistical software. Despite being proficient in many programming languages, I have not had the opportunity to learn about many different statistical software, especially the proprietary ones. I am aware of the seriousness of this lacking so I am more focus and diligent on learning about them. Moreover, as this MS program is focused on proprietary software like SAS, I believe that I will posses the knowledge to overcome this weakness.
The Analytics and Data Mining program at Oklahoma State University is particularly relevant to my interests because the program offers core courses that focus on predictive and prescriptive analytic tools and software. Thus, I will be able to deepen my knowledge in the statistical software R and learn how to employ other statistical tools. Moreover, the program contains several projects which will allow me to employ my independent learning skills to explore applications of the knowledge learnt in class. The program also offers the opportunity to complete SAS and OSU Certificates, which will provide me an advantage to land my desired job upon graduation.