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I'm Vida Saeedzadeh, a data scientist with 5+ years of experience analyzing large-scale multi-modal datasets across physics and astronomy. I thrive at the intersection of science and engineering, using Python, SQL, and high-performance computing to build predictive models, detect anomalies, and perform dimensionality reduction in complex dynamic temporal and spatial systems. I enjoy translating technical insights into actionable guidance for diverse audiences, leading independent projects from concept to publication, mentoring junior researchers, and collaborating with NASA mission teams to shape instrument design and data pipelines.…I'm Vida Saeedzadeh, a data scientist with 5+ years of experience analyzing large-scale multi-modal datasets across physics and astronomy. I thrive at the intersection of science and engineering, using Python, SQL, and high-performance computing to build predictive models, detect anomalies, and perform dimensionality reduction in complex dynamic temporal and spatial systems. I enjoy translating technical insights into actionable guidance for diverse audiences, leading independent projects from concept to publication, mentoring junior researchers, and collaborating with NASA mission teams to shape instrument design and data pipelines.

Vida Saeedzadeh

Data Scientist, Data Analyst, AI Engineer, +2

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I'm Vida Saeedzadeh, a data scientist with 5+ years of experience analyzing large-scale multi-modal datasets across physics and astronomy. I thrive at the intersection of science and engineering, using Python, SQL, and high-performance computing to build predictive models, detect anomalies, and perform dimensionality reduction in complex dynamic temporal and spatial systems. I enjoy translating technical insights into actionable guidance for diverse audiences, leading independent projects from concept to publication, mentoring junior researchers, and collaborating with NASA mission teams to shape instrument design and data pipelines.…I'm Vida Saeedzadeh, a data scientist with 5+ years of experience analyzing large-scale multi-modal datasets across physics and astronomy. I thrive at the intersection of science and engineering, using Python, SQL, and high-performance computing to build predictive models, detect anomalies, and perform dimensionality reduction in complex dynamic temporal and spatial systems. I enjoy translating technical insights into actionable guidance for diverse audiences, leading independent projects from concept to publication, mentoring junior researchers, and collaborating with NASA mission teams to shape instrument design and data pipelines.

Available to hire

I’m Vida Saeedzadeh, a data scientist with 5+ years of experience analyzing large-scale multi-modal datasets across physics and astronomy. I thrive at the intersection of science and engineering, using Python, SQL, and high-performance computing to build predictive models, detect anomalies, and perform dimensionality reduction in complex dynamic temporal and spatial systems.

I enjoy translating technical insights into actionable guidance for diverse audiences, leading independent projects from concept to publication, mentoring junior researchers, and collaborating with NASA mission teams to shape instrument design and data pipelines.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Assistant Research Scientist at Space Telescope Science Institute (STScI) / Johns Hopkins University

October 1, 2024 - Present

Built ETL pipelines for 10+ TB datasets using HPC, feature engineering, and dimensionality reduction to scale analysis and uncover latent patterns; developed predictive models and response functions to evaluate trade-offs in sensitivity and resolution; applied ML methods to noisy data to improve accuracy and interpretability; led projects from concept to publication and mentored junior researchers while collaborating with NASA mission teams.

Guest Research Scientist at Simons Foundation, Center for Computational Astrophysics (CCA)

August 1, 2023 - October 1, 2023

Developed a scalable resampling algorithm in C and C++, delivering 128× resolution with 5× faster runtime and lower memory use for large-scale simulations.

Research Scientist at University of Victoria

September 1, 2019 - May 1, 2024

Developed computational models to analyze large-scale simulations with HPC, focusing on clustering, temporal trend prediction, and anomaly detection. Built ML and SBI pipelines for rare-event forecasting in complex dynamical systems (dual AGNs, gravitational wave sources). Led and mentored a team of 3 graduate researchers, published 7 peer-reviewed papers, while securing 9 ($100K+) research grants.