← Full detailed plan

Fatima Hassan

Grade 11 · Linguistics / Computational Linguistics · MN

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Portfolio read

Strong

2 High 1 Medium 0 Low

GPA

3.92

SAT

1520

Target major

Linguistics / Computational Linguistics

Schools analyzed

Activities

Days to RD

174 days

Schools

verdict · committee confidence · drill in

Medium Massachusetts Institute of TechnologyLinguistics / Computational Linguistics Medium confidence Analysis →

High West Chester University of PennsylvaniaLinguistics / Computational Linguistics High confidence Analysis →

High University of Minnesota-Twin CitiesLinguistics / Computational Linguistics High confidence Analysis →

Priority actions

ROI-ranked · what moves the needle now

Provide a clear coursework snapshot showing math and programming preparation (e.g., calculus, statistics, Python/CS classes) to confirm readiness for computational linguistics.

⭐ Wanted by 2 schools 🎯 West Chester University of Pennsylvania, University of Minnesota-Twin Cities ⚙ Low effort 🕒 immediately when submitting applications

Turn the Somali‑Bantu dictionary project into a structured open NLP dataset (tokenized text, audio alignment, metadata, documentation) and release it on GitHub with code examples for training translation or speech models.

🎯 Massachusetts Institute of Technology ⚙ Medium effort 🕒 within 2–3 months before application submission

Publish the Somali‑Bantu dictionary and audio corpus online (GitHub, Hugging Face datasets, or a public website) and document number of entries, speakers recorded, and downloads or users.

🎯 West Chester University of Pennsylvania ⚙ Medium effort 🕒 within 1–2 months

Clarify technical ownership in your research: document exactly what you built (model training, data pipeline, evaluation scripts) and include links to commits, repositories, or preprints.

🎯 Massachusetts Institute of Technology ⚙ Low effort 🕒 immediately while preparing application materials

Add clear technical documentation of the NLP research contribution (models worked on, code written, benchmarks improved, GitHub commits).

🎯 West Chester University of Pennsylvania ⚙ Low effort 🕒 immediately before application submission

Strong academic indicators: 3.92 GPA paired with a 1520 SAT suggests consistent high academic performance.
Clear academic direction: stated interest in linguistics or computational linguistics signals a focused intellectual interest.
Combination of strong testing and grades indicates both classroom consistency and high performance on standardized exams.
The applicant has a clearly stated academic direction (Linguistics / Computational Linguistics), which is an uncommon and intentional major choice for incoming students.

Academic rigor is unclear: the record shows a 3.92 GPA, but there is no information about the difficulty of math and science courses taken.
Preparation for computational linguistics is not yet demonstrated; the committee specifically noted the need for evidence of strong math foundations.
SAT section breakdown is unknown, making it hard to evaluate balance between quantitative and verbal strengths for a linguistics/computational field.
The visible file contains almost no evaluative information—no GPA, coursework, activities, or evidence of preparation—making it impossible for the committee to assess readiness.