Monthly Action Plan

05. Monthly Action Plan — Zara Okonkwo

This calendar structures your final application cycle from now through submission. Each month builds toward a fully documented, polished portfolio emphasizing your Data Science and Statistics focus. Follow each timeline precisely to ensure that your materials for UC-Berkeley, Carnegie Mellon, and Georgia Tech are complete and verified before deadlines.

Month Key Actions Target Outcome
Month 1 — Coursework Verification & Endorsement
(Immediately)
  • Gather official documentation for all advanced math and computer science classes taken at your high school — include course titles, syllabi, and grade reports. If any are not yet uploaded, collect them now.
  • Request a teacher endorsement letter or statement confirming the rigor and depth of your coursework. This should highlight your readiness for Data Science/Statistics programs.
  • Organize materials in a shared folder for your counselor and recommenders to access easily.
 Outcome: Verified record of advanced quantitative preparation available for inclusion in application materials. Teacher endorsement secured and ready for upload.
Month 2 — 'Data for Good' Project Publication
(Next Month)
  • Publish your “Data for Good” project on GitHub or a personal website. Ensure all code, data sources, and methodology are clearly documented and reproducible.
  • Include a concise project summary explaining the dataset, problem addressed, and your analytical approach — see §06 Essay Strategy for how to reference this effectively in personal statements.
  • Ask a teacher or mentor to review the repository for clarity and completeness before making it public.
 Outcome: Publicly accessible, professional-quality project demonstrating technical and ethical engagement with data. Ready to link in applications.
Month 3 — External Validation & Counselor Update
(Following Month)
  • Submit your “Data for Good” project to an external competition or research forum for review. Choose venues that accept high school submissions or open-source contributions.
  • Notify your counselor once submission confirmation is received so they can record the credential in your application profile.
  • If feedback is provided, integrate any constructive notes into your GitHub documentation and résumé.
 Outcome: Project externally validated; new credential communicated to counselor for official documentation in application records.
Month 4 — Essay & Supplement Integration
(Two months before major deadlines)
  • Incorporate verified coursework details and project outcomes into your essays and supplemental materials — see §06 Essay Strategy for narrative framing.
  • Ensure consistency between your Common App activities list and project documentation (titles, dates, and outcomes should match).
  • Conduct a full review of each school’s supplemental prompts for alignment with your Data Science/Statistics focus.
 Outcome: Essays and supplements fully reflect your quantitative rigor and applied data experience; all materials internally consistent and ready for advisor review.
Month 5 — Recommender & Final Submission Prep
(Final month before deadlines)
  • Confirm that all recommenders have uploaded letters and endorsements through the application portals; follow up promptly if any are pending.
  • Complete final proofread of all essays, résumé, and project links for accuracy and formatting.
  • Submit applications for UC-Berkeley, Carnegie Mellon, and Georgia Tech before their respective deadlines; verify receipt of all materials.
 Outcome: All recommendation letters and materials uploaded; applications submitted cleanly and completely; confirmation emails received and archived.

Early Application Timing Notes

Given your strong GPA (3.94) and SAT score (1530), you should consider Early Action at Georgia Tech to maximize your chance of admission within your home state. For UC-Berkeley and Carnegie Mellon, proceed with Regular Decision unless your counselor advises otherwise based on essay readiness. Ensure all early materials are finalized by the end of Month 4 to allow buffer time for submission.

Final Checklist Before Submission

  • All coursework documentation uploaded and verified.
  • Teacher endorsement confirming rigor included.
  • “Data for Good” project publicly accessible and externally validated.
  • Essays and supplements integrate project outcomes and coursework evidence.
  • Recommender uploads confirmed; application portals show complete status.

By following this month-by-month plan, Zara Okonkwo will present a cohesive, data-driven application portfolio that highlights academic strength, applied technical skill, and disciplined execution—all aligned with the expectations of top Data Science and Statistics programs.

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