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actualhorse

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  1. Feeling kinda nervous to make this post cause I'm pretty insecure and stressed about my undergraduate GPA, but I figured it'll be worth asking for advice. I'll start off with my profile and explain a little more about my circumstances and what I'd like help with near the end. Thanks in advanced to anyone who responds! Student Type: Eastern European Female (1st Generation Immigrant and 1st Generation College Student; US Citizen) Undergrad: Virginia Tech Major: Statistics (Minor in Mathematics) GPA: 3.29 (My in-major GPA is lower, mainly because of getting straight C's in my math courses during my first 2 years) Relevant Courses: Calc 2 (C+), Linear Algebra (C), Multivariable Calculus (C-), Stat Methods (A), Stat Methods 2 (A-), Diff Eq (C+), Regression Analysis (A-), Probability and Distributions (B-), Vector Calc (C), Experimental Design (A), Theoretical Statistics (A-), Intro to Proofs (B+), Data Analytics and Visualizations (A), Undergraduate Research (A), Theoretical Stat 2 (A-), Bayesian Statistics (A), Statistical Engineering (A) I did horribly my first 2 years because I had an undiagnosed anxiety disorder. I would regularly work myself up to the point of hyperventilation and even vomiting before most major tests cause I couldn't stop myself from spiraling, and I had been so accustom to it that I didn't realize it was abnormal to do that. I finally got diagnosed during the very start of my junior year and I was put on anti-anxiety medication and given testing accommodations (extra testing time and a quiet location) for the disability center at my school. That ended up making a world of difference for me, as I was finally able to be in a mental state where I could handle taking a huge test. Over the course of my junior year my grades went up tremendously, and I got an average of 3.8 over that year. This helped pull my overall grades up a lot, but the damage from my first 2 years is still present. GRE: Taking it sometime in the upcoming 2 months. Currently trying to see if I can get additional testing time due to my anxiety disorder. Expecting to do well, as I've been prepping this whole summer. Research: 1 year as an undergraduate research assistant doing Bayesian analysis on insects and vector-borne diseases (expected to continue this throughout the rest of my senior year; also expected to result in 2 publications). 1 year of being a volunteer data analyst for the US Forest Service, working on analyzing data on forest silviculture and soil microtopography (expected to publish a paper on findings sometime next year where I will be either 1st or 2nd author; expected to continue this throughout the rest of my senior year). 3 months as an individual REU student (with the same professor I've been an undergraduate research assistant for) doing Bayesian analysis on aphid data (expected to continue this throughout the rest of this fall semester; expected to publish a paper on this where I will be 1st author). 1 semester of analyzing COVID data alongside healthcare analytics company during my Statistical Engineering class to optimize COVID funding allotment in the state of Maryland. Work Experience/ Projects: 2 summers as Data Analysis intern for nuclear research government contractor. 1 semester of being a grader for Data Analytics and Visualization (course I have taken before and did well in w/ same professor) Expected to work 1 semester as a grader for a grad-level course covering similar material as my Data Analytics and Visualization class. 1 year working on WiDS Blacksburg committee to organize a large annual conference for women in data science (expected to continue this throughout the rest of my senior year). 3 months of participating in a randomization working group, which is currently working on creating/organizing papers and resources that explains the benefits and issues with various experimental techniques used in clinical trials (i.e. why you shouldn't use permuted blocks or how to analyze randomized trials). (expected to continue into senior year and probably also after college). Unofficially worked as a tutor throughout high school and my undergraduate years helping out friends, neighbors, and siblings with math and statistics. (at least 30 people who I've tutored beyond just "help with homework") Letters of Recommendation: Expected 2 strong letters of recommendation: one from the professor I've been an undergraduate research assistant (have not had her as a teacher) who can vouch that I'd be great in research, and one from the professor I'm a grader for (have had him as a teacher) who can vouch that I'm a hardworking, strong student in statistics. Might also ask my experimental design professor for a letter of recommendation, as experimental design/ research consulting is the field I want to go into after grad school. Awards: $5000 scholarship from Department of Statistics. 1st Place Winner at local ASA DataFest competition (won against 35 other teams that were participating). Concerns: I'm really worried about my overall GPA and in-major GPA. The fact that most of the classes I got low grades in were math courses are the biggest fear, as I feel like it indicates that I'd be a bad fit for graduate programs. I love math and statistics and doing research, but at the end of the day I just really don't excel in a testing environment. This has been a consistent issue for me, as the math department at my school tends to allot 80% of our final grades to 2 midterms and a final, and doesn't allow curves. What worries me is that I know this is standard-practice in a lot of graduate programs so I feel like I can't make the argument that I'd be better in grad school. Also, I know that the Americans w/ Disabilities Act protects against disability discrimination, but I'm worried about not getting in because of my anxiety issues; I've had professors tell me "some people are just not cut out for higher education" after hearing about my disability status so it worries me that an admissions council could say the same thing after seeing my profile. Additionally, I've worked on a lot of research projects that are going to result in a formal paper, but due to COVID the development of all of those papers got pushed back, so I don't think there's anything I've been working on that's going to be sent for review by the time I do my applications. This makes me feel like a lot of the outside research I've done holds less weight in my application. Programs I'm Applying To/ Looking For: As a first-generation college student, I really don't know much about the whole grad process. I've figured out some of the basics of it from others, but I feel like there are huge chunks I'm missing, like which schools are known for specializing in what or which schools would be a good-fit for me and my application. I'm really interested in working as a in-house statistical consultant for science/engineering companies research departments (i.e. General Electric, Johnson & Johnson, Dupont, IBM, etc) after getting my degree. Because of this, I've been prioritizing schools that offer classes in graduate-level experimental design and statistical consulting. So far I've gotten 4 programs that I'm interested in, but if anyone has any suggestions it'd mean a lot to me! 1. University of Michigan's Bridge Masters Program in Applied Statistics 2. Oregon State University's Masters Program in Applied Statistics 3. Purdue's Masters Program in Statistics 4. George Mason's Masters Program in Statistics Once again, thank you to everyone who read this and responded. Like I said, it means a lot to me.
  2. Howdy everyone! I'm currently a freshman at a large, public top 50 school and I'm determined to go onto graduate school, with the goal of ultimately getting my PhD in statistics. I absolutely adore mathematics and statistics, and while I don't know what branch of statistics I'd like to research or even what sector (academia, industry, government) I'd like to go into, I am certain that I want to do higher-level statistics for the rest of my career. I know it seems incredibly early for me to be discussing/ considering any of this, but please hear me out. After reading through this forum fairly extensively, I realized that a very large chunk of the advice that is given in profile evaluations is worded something along the lines of, "Well it's too late now to work on your GPA/ undergraduate research experience/ finding better recommenders, so instead just focus on the GRE/ statement of purpose/ etc." I know that the closer I get to the actual application deadline, the fewer aspects of my application I can change. Because of this, I figured that now's the best time to learn what to prioritize over the next four years. I spent the past couple months figuring out what opportunities I might have over the next couple years, but I've been having a hard time figuring out what to prioritize or which experiences might be the most valuable. The rest of this post will consist of some of the academic and extracurricular activities that I know I have access to. If there is anything you think is worth prioritizing (or might not be worth it), or if there is literally any general advice you have, please say it. Additionally, I'm not sure what 'level' of school I'm interested in (e.g. top 5 vs. top 40), so I'm curious about what I would have to do to have a chance in different levels of graduate programs. Academic Options: Theses are the statistics and mathematics classes I currently plan on taking over the next four years. Do they seem to be enough for me to be accepted into a PhD program after graduation, or is there some a major section of statistical or mathematical understanding that I might be missing? Freshman Year: Calculus II, Multivariable Calculus, Intro to Linear Algebra Statistical Methods I Sophomore Year: Differential Equations, Intro to Proofs, Calc of Several Variables, Advanced Calculus Statistical Methods II, Theoretical Statistics I, Methods of Regression Analysis, Experimental Design, Probability and Distributions Junior Year: Discrete Mathematics, Elementary Real Analysis I, Linear Algebra Theoretical Statistics II, Communication in Statistical Collaborations, Data Analytics and Visualizations, Applied Bayesian Statistics, Applied Multivariate Analysis Senior Year: I'm not sure yet, because it's around here that I can no longer understand the fundamental idea of the classes of this level with what I currently know. I'm planning on keeping senior year more math-heavy, but I don't understand what all of my options mean. Extracurricular Options: Putnam Exam Contestant Statistics Club Vice President/ President: I was presented with the opportunity to be the Vice President of the undergraduate statistics club, and probably the president of the club for the next 3 years after that. Besides being a fun experience, the only belief that I could see would be that it could make it easier for me to meet notable faculty members, as the VP and president organize guest speakers to come in. Undergraduate Research Math Tutoring Honors Program Summer Internships Summer REUs Study-Abroad (Budapest Seminars, Math in Moscow, University of Karlsruhe, etc) There might have been more, but I can't remember them off the top of my head. Regardless, thank you for your help.
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