catnguyen181
Jan 7, 2017
Graduate / Personal statement - Master in Analytics - Descriptive analytic to improve businesses' efficiency [13]
Hi there, I'm applying for a MS in business analytics and here is my statement of purpose. I've working on this essay for a while and the things that I am concern about is:
1. Clarity and word choices (as I'm not a English native speaker)
2. Content (as I'm not sure if my passion and eager to participate in the program is shown clearly. Thus, if you think I should elaborate on any part, please let me know)
Thank you very much for helping out
Prompt 4: Maximum 2 to 3 pages Statement of Purpose discussing your strengths and weaknesses, and reason(s) for pursuing this degree
My goal is to help businesses improve their demand forecasts, making them more sustainable and profitable. Growing up in and now working in Vietnam where pollution is among the ten worst countries in the world, I have witnessed the dreadful consequences of industrial waste and pollution. I want to focus on improving forecasts because it can help businesses form better strategies to cut waste on their supply chains - in the interest of both businesses and the environment. Meanwhile, this field allows me to exercise my passion and aptitude for quantitative reasoning as evidenced by the perfect grades I received for every quantitative analysis course in my undergraduate study. After graduate school, I plan to become a solution architect who is the front end to businesses and designs predictive solutions. I hope to later grow into a data scientist who oversees not only business solution design but also implementation.
Accurate demand forecasts are needed in almost every company and unexpected demands can disrupt operations which produce large amounts of waste. I observed, at the packaging manufacturer where I worked as a production assistant, that more than twenty percent of production waste resulted from production chasing after unexpected demands. Inaccurate prediction can also enlarge the costs and wastes from inventory management, transportation, and other supply chain stages. Besides constructing or improving companies' predictive systems, I am also interest in unfolding the forecasts' implications. 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.
On one hand, my strengths as an analyst are my quantitative aptitude and independent learning ability. My fascination for extracting predictive information from raw data and passion for sustainability motivated me to achieve excellent academics. Since I was eager to learn about this topic, I plowed through the knowledge inside and outside of classrooms. As the results, I graduated with a degree labeled Summa Cum Laude. More importantly, I excel in all analytic related courses, from statistics, calculus, to programming. To satisfy my thirst for knowledge, I have self taught several skills including R and VBA programming. I have designed various VBA programs at work. One successful program assists the Human Resource Department manage all hiring information. The program includes a user-friendly interface and a structured database, allowing users to consolidate information from four different locations in Asia and produce graphical reports automatically. These traits allow me to keep abreast with the latest news in the field and better myself continuously.
Another strength of mine is my knowledge in business operations, which makes me a better analytic professional. As I have worked for several different companies, I can comprehend businesses' needs and common practices, especially global business practices. Moreover, since I have observed how companies turn analytics results to practices, I understand that analytic models have many shortfalls when applied. Therefore, I am more keen design solutions that are most practical and compelling to businesses. With my knowledge, I believe that I will bring interesting insights to the classrooms at Oklahoma State University.
On the other hand, the weakness that has hindered my professional progress is the lack of knowledge and skills needed for advanced predictive and prescriptive analytics. Although proficient in many programming languages, I have not learned to how to operate many different analytical software other than R and Microsoft Excel. Therefore, I have only been able to build not so complicated predictive models during both college and work. Moreover, I lack the skills to analyze unstructured data, which has prevented me from taking advantage of the emerging field of predictive analysis from big data.
As the Analytics and Data Mining program at Oklahoma State University offers various core courses on predictive analysis using different software and tools, I intend to complete this program to improve upon my weakness. Also, as the program offers SAS Predictive Analytics Certificate, I believe that I will gain the necessary skills and knowledge to advance my career toward the goal of helping companies save both environmental and financial costs upon finishing the program.
Hi there, I'm applying for a MS in business analytics and here is my statement of purpose. I've working on this essay for a while and the things that I am concern about is:
1. Clarity and word choices (as I'm not a English native speaker)
2. Content (as I'm not sure if my passion and eager to participate in the program is shown clearly. Thus, if you think I should elaborate on any part, please let me know)
Thank you very much for helping out
Prompt 4: Maximum 2 to 3 pages Statement of Purpose discussing your strengths and weaknesses, and reason(s) for pursuing this degree
My strengths, weaknesses and goals for the future
My goal is to help businesses improve their demand forecasts, making them more sustainable and profitable. Growing up in and now working in Vietnam where pollution is among the ten worst countries in the world, I have witnessed the dreadful consequences of industrial waste and pollution. I want to focus on improving forecasts because it can help businesses form better strategies to cut waste on their supply chains - in the interest of both businesses and the environment. Meanwhile, this field allows me to exercise my passion and aptitude for quantitative reasoning as evidenced by the perfect grades I received for every quantitative analysis course in my undergraduate study. After graduate school, I plan to become a solution architect who is the front end to businesses and designs predictive solutions. I hope to later grow into a data scientist who oversees not only business solution design but also implementation.
Accurate demand forecasts are needed in almost every company and unexpected demands can disrupt operations which produce large amounts of waste. I observed, at the packaging manufacturer where I worked as a production assistant, that more than twenty percent of production waste resulted from production chasing after unexpected demands. Inaccurate prediction can also enlarge the costs and wastes from inventory management, transportation, and other supply chain stages. Besides constructing or improving companies' predictive systems, I am also interest in unfolding the forecasts' implications. 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.
On one hand, my strengths as an analyst are my quantitative aptitude and independent learning ability. My fascination for extracting predictive information from raw data and passion for sustainability motivated me to achieve excellent academics. Since I was eager to learn about this topic, I plowed through the knowledge inside and outside of classrooms. As the results, I graduated with a degree labeled Summa Cum Laude. More importantly, I excel in all analytic related courses, from statistics, calculus, to programming. To satisfy my thirst for knowledge, I have self taught several skills including R and VBA programming. I have designed various VBA programs at work. One successful program assists the Human Resource Department manage all hiring information. The program includes a user-friendly interface and a structured database, allowing users to consolidate information from four different locations in Asia and produce graphical reports automatically. These traits allow me to keep abreast with the latest news in the field and better myself continuously.
Another strength of mine is my knowledge in business operations, which makes me a better analytic professional. As I have worked for several different companies, I can comprehend businesses' needs and common practices, especially global business practices. Moreover, since I have observed how companies turn analytics results to practices, I understand that analytic models have many shortfalls when applied. Therefore, I am more keen design solutions that are most practical and compelling to businesses. With my knowledge, I believe that I will bring interesting insights to the classrooms at Oklahoma State University.
On the other hand, the weakness that has hindered my professional progress is the lack of knowledge and skills needed for advanced predictive and prescriptive analytics. Although proficient in many programming languages, I have not learned to how to operate many different analytical software other than R and Microsoft Excel. Therefore, I have only been able to build not so complicated predictive models during both college and work. Moreover, I lack the skills to analyze unstructured data, which has prevented me from taking advantage of the emerging field of predictive analysis from big data.
As the Analytics and Data Mining program at Oklahoma State University offers various core courses on predictive analysis using different software and tools, I intend to complete this program to improve upon my weakness. Also, as the program offers SAS Predictive Analytics Certificate, I believe that I will gain the necessary skills and knowledge to advance my career toward the goal of helping companies save both environmental and financial costs upon finishing the program.