Victoria Dynak
Resume
Victoria headshot

Victoria Dynak’s Portfolio

CS + Econ @ Hunter (Macaulay) • ML & Data Science • Product-minded and story-driven

About Me

I’m Victoria Dynak, a Computer Science & Economics student at Hunter College who thrives on turning messy, high-dimensional data into models that actually work in the real world. My focus is on Machine Learning and Data Science, with a knack for pairing technical depth (feature engineering, model tuning, and evaluation) with clean, business-driven deliverables—clear metrics, intuitive UX, and dashboards people actually use.

What I’m into: scalable ML pipelines, retrieval-augmented generation (RAG), model deployment, and designing front-ends that make complex insights instantly understandable. Fun fact: When I’m not building models, you’ll probably find me hiking national parks, city-hopping to underground house/techno shows, or chasing sunsets in places I’ve never been.

Skills

Languages

PythonC/C++JavaScriptTypeScript SwiftHTML/CSSPHPAssemblySQL

Databases

MySQLPostgreSQL

Data Science & Machine Learning

PyTorchTensorFlowscikit-learnLangChain RAGPandasNumPyMatplotlibSeaborn Computer Vision (CNNs)

Dev Tools & Platforms

AWSAzureGoogle CloudGit Node.jsExpressReactNext.jsTailwind DjangoFlask

Other Tools

FigmaPower BITableauTrello

Experience

Selected roles & impact.

Nasdaq Entrepreneurial Center — Data Science & AI Product Intern

Aug 2025 – Present

  • ML
  • Feature Engineering
  • Product
  • JS/CSS
  • Supporting an AI recommendation engine to benchmark capital readiness using internal, public, and partner datasets.
  • Engineering features and building modular UI to surface prescriptive insights.
  • Collaborating with CDFI partners to validate AI outputs against real-world use.

Accenture — Summer Technology Architecture Analyst

June 2025 – Present

  • SAP S/4HANA
  • Governance
  • GenAI
  • Azure OpenAI
  • Identified S/4HANA archiving targets across PR1/LP1/PL1; reduced ERP load via strategic retention.
  • Aligned governance across Apptio, FinOut, SNOW, and Horizons to boost visibility.
  • Previously built a RAG LLM (Azure OpenAI + LangChain), automated QA data generation, and monitored CI/CD (Blazor/OpenShift/GitLab).

KPMG — Machine Learning Intern

Aug 2023 – Jan 2024

  • Python
  • Modeling
  • EDA
  • Led modeling on gender wage disparities using DT/GBDT/RF/Linear Regression.
  • Delivered findings and recommendations in stakeholder sessions.

Unadat — Software Engineering Intern

June – Sept 2023

  • HTML/CSS/JS
  • PHP
  • MySQL
  • GCP
  • Shipped user-facing features (credit tracking, debt monitoring, goals) with responsive UI.
  • Integrated backend logic with PHP/MySQL and wrote unit/integration/E2E tests.

Cornell Breakthrough Tech AI — ML Intern

May – Aug 2023

  • Supervised ML
  • CNNs
  • Research
  • Predicted Airbnb review scores; explored trade-offs in complexity vs. interpretability.
  • Built a CNN for 7.8M plant & fungal images with the NY Botanical Garden.

Education

Macaulay Honors @ Hunter College — B.A. in Computer Science & Economics, Minor in Mathematics
GPA: 3.8/4.0 • Expected Graduation: May 2026

Relevant Coursework: OOP, Data Structures & Algorithms I–III, Operating Systems, Computer Theory, Web & iOS Development, Digital Product Management, Calculus I–II, Statistics, Matrix Algebra, Discrete Math.
Affiliations: McNulty Scholar (Phylogenetic Graph Research, Fall 2025), CUNY Tech Prep (Data Science & ML), Breakthrough Tech AI, CodePath, Google x Basta Career Apprenticeship, Hunter CS Club.

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