kvothe13

This is all super helpful! Thanks @bayessays

Thanks for responding so quickly @bayessays! To be cautious, I'd like add one more safe choice (on par with UConn) to this list, preferably in the Northeast. I'm leaning towards BU, but was wondering if you had any other thoughts. Also, do you think I should submit my subject test score to schools that "strongly recommend" I do so? They don't require it, per se, but I'm worried that if I don't submit it they might think I scored worse than I actually did.

Hi all! I'm in the process of finalizing the list of programs I will ultimately apply to and wanted to gauge my likelihood of acceptance at each one. In particular, I'd love to know if I'm aiming too high with my list and if I should add more schools in lower tiers. Thanks in advance for any input! Undergrad Institution: Top 5 liberal arts college Major: Math GPA: 3.92 Type of Student: Domestic, White Male Courses Taken: Calculus I-III, Ordinary Differential Equations, Probability, Statistics, Linear Algebra I-II, Group Theory I-II, Real Analysis I-II, Topology, Introductory Computer Science, Data Structures (As and a couple A minuses in each course) GRE General: Q: 170 (96%) V: 166 (97%) W: 5.0 (92%) GRE Math Subject: 650 (49%) - planning to only submit where required or highly recommended Grad Institution: None Programs Applying: Statistics with a couple operations research mixed in Research Experience: No formal academic research experience - several class projects and industry experience 1. 2-month long Linear Algebra project in which I used principal component analysis to reveal major league baseball pitching trends since 2000. 2. 2-month long Group Theory project in which I wrote a report and presented on recent findings related to automatic groups. Work Experience: Nearly two years at a tech startup as a data analyst/software engineer. 1. Software engineering (~70% of responsibilities) - Experience building large scale infrastructure projects from the ground up. Working knowledge of Python, SQL, GitHub, docker, AWS, Redis, and other industry tools and practices. 2. Data Analysis (~30% of responsibilities) - Analyzed large email data sets and developed new statistics to identify undervalued users and email content. Incorporated concepts of parametric statistics into a decision engine that identifies underperforming email content. Letters of Recommendation: One from statistics professor, one from group theory professor, and another from real analysis professor. I know each of them well and expect strong letters from all 3. Research Interests: Pretty flexible here, although Bayesian inference, high-dimensional data, networks, and statistical computing are of particular interest to me. PhD Programs I will definitely apply to: Harvard (Statistics) Carnegie Mellon (Statistics) University of Michigan (Statistics) Duke (Statistics) UNC (Statistics) NC State (Statistics) Yale (Statistics) Ohio State (Statistics) University of Connecticut (Statistics) PhD Programs I may apply to: Purdue (Statistics) Penn State (Statistics) University of Toronto (Statistics) Boston University (Statistics) MIT (Operations Research) Georgia Tech (Operations Research) I'm aiming to apply to ~12 programs, so will likely choose ~3 schools from that second list. I appreciate any and all feedback! And anyone thinks there are other programs I should consider, please let me know!