UIUC · Materials Science + Data Science · Class of 2028

Ahaana Goswamy

Materials Science Engineer building at the intersection of materials, data, and computation.

UIUC Materials Science & Engineering student applying data science, machine learning, and experimental engineering to real-world materials problems.

01 Materials research02 Data & computation03 Experimental design
01

Introduction

Engineering across scales.

I work where materials science, data science, machine learning, and engineering experimentation meet.

At UIUC, I study how material behavior can be understood through both physical experiments and computation. My experience spans silk fibroin biomaterials, release-kinetics modeling, spectral analysis, technical software, and data engineering foundations. I am especially interested in turning experimental observations into useful models—and using those models to make better engineering decisions.

Usually working with music in the background.
02

Featured projects

Evidence in the work.

Selected work showing how I approach engineering problems—from physical prototypes to computational models.

02 / Materials ML

Oxidation Classification Research

Exploring whether unlabeled material images contain useful oxidation-state structure.

Work in progress investigating convolutional and variational autoencoders, latent-space representations, UMAP, HDBSCAN, and self-supervised learning for materials characterization.

Machine learningAutoencodersUMAPHDBSCANImage analysis
ScholarMatch Android application demo Watch demo

03 / Android software

ScholarMatch

A Kotlin app matching students to scholarships by GPA, major, citizenship, and eligibility, with filtering, saving, and application tracking.

21 hours to functional MVP · Nominee, Best Everyday Utility App
KotlinAndroidProduct designEdge-case handling
View project
PlastiBuild community water station made with reused plastic bottlesPlastiBuild station in its street setting

04 / Sustainable materials

PlastiBuild

A community water-station project applying recycled polymer bottles and material-reuse constraints to low-cost construction, created with Palash Bharti.

3+ years in service after a six-month expectation
Materials scienceSustainabilityPrototypingCircular design
Read the story
03

Experience

Learning by doing.

Research, data, teaching, and laboratory work—edited for the contributions that matter most.

01

2026 — Present

Undergraduate Research Assistant

Dr. Rucha Joshi’s Lab · Plaksha University

  • Quantifying how silk fibroin gelation routes affect pore architecture, swelling, degradation, and drug release for a Biopolymers manuscript in preparation.
  • Fit Weibull models in Python across 8 replicates per formulation, extracting shape parameters and T50/T63.2 release times.
02

Jun — Jul 2026

Data Engineering Intern

Celebal Technologies

  • Completed Microsoft Azure fundamentals modules focused on cloud data concepts and pipeline architecture.
  • Strengthened practical SQL querying through structured, self-directed coursework.
03

Fall 2026 — Present

Assistant Tutor · CS 124

University of Illinois Urbana-Champaign

  • Help students debug Kotlin and reason through introductory programming problems during help-desk hours.
  • Identify misconceptions and guide students toward solutions without giving away answers.
04

Jun — Jul 2025

Research Intern

Vivek PharmaChem India Ltd.

  • Tested formulation samples using spectrometric analysis to verify composition and quality.
  • Maintained structured laboratory records and handled reactive chemicals under established safety protocols.
05

2023

Assistant Chemist

Northern Solvents

  • Supported sample preparation and VOC and oil-content analytical testing workflows.
04

Technical skills

A practical toolkit.

Programming & data

PythonNumPypandasSciPyMatplotlibSQLKotlinMATLAB

Materials & analysis

Materials characterizationWeibull modelingFourier / FFTStatistical analysisWelch’s t-testFiji / ImageJExperimental design

Machine learning

RegressionClassificationEvaluation metricsAutoencodersUMAPHDBSCANSelf-supervised learning

Tools & engineering

Microsoft AzureSpectrometric analysisLab safety

Certification · Supervised Machine Learning — DeepLearning.AI / Coursera, 2025

05 / Education

University of Illinois Urbana-Champaign

B.S. Materials Science & Engineering · Expected May 2028

3.3
GPA
Dean’s List
Spring 2026
Selected coursework

MSE 201 · STAT 207 · MATH 285 · MSE 401 · MSE 406 · MSE 307 · CS 277

06

Beyond engineering

A little context beyond the work.

Music

Usually somewhere between a guitar riff and a new playlist.

Football · Association football

Watching it, playing it, overanalyzing it.

07 / Contact

Let’s build something meaningful.

I’m interested in opportunities involving materials engineering, data, research, manufacturing, and technology.

Champaign, Illinois