Data Scientist & ML Engineer · Phoenix, AZ

Aryun
Gupta

I build end-to-end Machine Learning pipelines, predictive models, and data systems that work in production, all the way from sentiment-driven trading algorithms to healthcare data infrastructure.

PythonPyTorchFastAPI PostgreSQLSalesforce Health Cloud Apache SparkReactDocker
3/3 2025 correct playoff picks
40% ML latency reduction
63k+ residents impacted
3.5 GPA · MS & BS
Skills

ML & Data Science

Python, R, XGBoost, TensorFlow, PyTorch, Keras, Hugging Face Transformers, Scikit-learn, Tableau, Plotly, Matplotlib, JMP, Minitab

Databases & Cloud

PostgreSQL, MySQL, MongoDB, Neo4j, Redis, AWS, Azure DevOps, Docker, Kubernetes

Big Data & Frameworks

Apache Spark, Kafka, Hadoop, FastAPI, SparkSQL, React, JavaScript

Platforms

Salesforce Health Cloud, Apex, SOQL, Java, Scala, Julia, Linux (Fedora, RHEL)

Experience
May 2025 — present current

Machine Learning Engineer

Fintech Startup · Remote

  • Architected end-to-end ML pipeline for time-series forecasting and sentiment analysis using FastAPI and Docker, resulting in a 40% reduction in model inference latency.
  • Fine-tuned Hugging Face Transformers (DistilBERT, T5) on unstructured news data; integrated sentiment into core trading algorithm, improving prediction accuracy by 12%.
  • Designed walk-forward validation framework achieving >55% win rates and up to 400% returns; while preventing overfitting prior to live deployment.
  • Implemented the Triple Barrier Labelling & dynamic trade sizing to cap max drawdowns on volatile stocks, improving capital preservation.
2025 — present current

Healthcare QA & Data Engineer

Velmeni AI · Phoenix, AZ

  • Diagnosed and resolved a critical Salesforce Health Cloud Apex batch job bug causing all research study candidates to reprocess on every run.
  • Traced multi-layer trigger chain to verify correct candidate flagging across research study enrollments.
  • Conducted end-to-end QA on patient-facing portal; building new features with PostgreSQL, React, and Azure DevOps.
Aug 2023 — Aug 2024

Data Analyst

BDS Education · Remote

  • Conducted data-driven evaluations of marketing performance using Tableau and NumPy — reduced customer acquisition costs and doubled new customer signups by year end.
  • Applied statistical analysis and A/B testing frameworks to assess campaign effectiveness.
  • Coordinated across departments to streamline data processes and improve on-time delivery of critical initiatives through workflow optimization.
  • Revamped product and content delivery systems; achieved 25% increase in customer satisfaction and 15% reduction in delivery times.
MS, Data Science & Engineering Arizona State University · May 2025 · GPA 3.5
BS, Computer Science University of Massachusetts, Amherst · May 2023 · GPA 3.5
Projects

See my work
in action.

A collection of my personal projects with interactive demos and detailed writeups.

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Contact

Let's build
something.

Open to Machine Learning, Data Science, and related roles in tech and analytics.