Aayushi Verma's Curriculum Vitae

most up-to-date CV

Connect With Me

:incoming_envelope: theawesomecosmos@gmail.com

Table of Contents

• Education
• Peer-Reviewed Journal Publications
• Data Science Community Involvement
• Conferences Attended
• Tech Skills
• Certifications

Education

• :woman_technologist: PhD in Computer Science and Engineering, University of Connecticut (Aug. 2024 - current)
• :memo: MS in Data Science, Pace University (May 2022 - Dec 2023)
• :woman_student: BSc (Hons) in Astrophysics, University of Canterbury (Feb 2018 - Nov 2021)

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Peer-Reviewed Journal Publications

• Verma, A., Khan, Omar Agha. (2024). From Text to Metadata: Automated Product Tagging with Python and Natural Language Processing. ITEA, 45(3).
• Verma, A. (2023). I-TREE: A Tool for Characterizing Research Taxonomies. ITEA, 44(3).
• Lister, T., Kelley, M. S. P., Holt, C. E., Hsieh, H. H., Bannister, M. T., Bodewits, D., Knight, M. M., Bauer, J., Chatelain, J., Dobson, M. M., Fernandez-Valenzuela, E., Gardener, D., Gyuk, G., Hammergren, M., Huynh, K., Jehin, E., Moulane, Y., Kokotanekova, R., Lilly, E., Man-To, H., McKay, A., Opitom, C., Protopapa, S., Schambeau, C., Schwamb, M. E., Snodgrass, C., Usher, H., Verma, A.A., Wierzchos, K., Yanamandra-Fisher, P. A., Ye, Q., Gomez, E., Greenstreet, S. (2022). The LCO Outbursting Objects Key Project: Overview and Year 1 Status. PSJ, 173(3).
• Grasha, K., Chen, Q.H., Battisti, A.J., Ridolfo, S., Poehler, E., Mably, S., Verma, A.A., Hayward, K.L., Kharbanda, A., Acharyya, A., Poetrodjojo, H., Seibert, M., Rich, J.A., Madore, B.F., and Kewley, L.J. (2022). Metallicity, ionization parameter, and pressure variations of HII regions in the TYPHOON spiral galaxies. ApJ, 929(2).
• Verma, A. (2019). The Morphology of Galaxies. Southern Stars, 58(2), 7–10.

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Data Science Community Involvement

• Mar. 2025 - participated in UConn AI/Voxel 51 Computer Vision Hackathon.
• Mar. 2025 - won department prize in UConn College of Engineering Poster Competition.
• Oct. 2024 - volunteered to showcase my PhD research and chat with first-year undergrads at UConn at a research showcase event.
• Apr. 2024 - volunteered as a TA for 'Design of Experiments' short course at DATAWorks conference.
• Dec. 2023 - placed 1st in IDA Data Analytics Working Group - Data Visualization Contest.
• Aug. 2023 - founded IDA Data Science Reading Group.
• May 2023 - co-founded Women in GovTech online community.
• Feb. 2023 - joined Pace University Data Science Club's committee as the Creative Team Lead.
• Nov. 2022 - selected as finalist and ultimately placed 3rd in 2022 Pace - Dataiku Hackathon.

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Conferences Attended

2025 - April - IEEE SatML Conference (Copenhagen, Denmark), as an attendee

2024 - April - DATAWorks Conference (Alexandria, VA), as a presenter - presented slides and poster, titled 'From Text to Metadata: Automated Product Tagging with Python and NLP'

2023 - December - MORS Emerging Techniques Forum (Laurel, MD), as a presenter - presentation titled 'From Data to Collaboration: Connecting Our Researchers with Data Science' - placed 4th in Visco Prize Competition - October - R for Government (Washington, DC), as a presenter - presentation titled 'From Data to Collaboration: Connecting Our Researchers with R and Shiny' - September - Posit Conference (Chicago, IL), as an attendee - May - Tableau Conference (Las Vegas, NV), as an attendee - April - DATAWorks Conference (Alexandria, VA), as a presenter - presented slides and poster, titled 'I-TREE: a Tool for Characterizing Research Using Taxonomies'

2022 - September - MORS Emerging Techniques Forum (Alexandria, VA), as an attendee - May - Astronomical Software Workshop (New York City, NY), as an attendee

2021 - June - RASNZ Annual Conference (Wellington, New Zealand), as a presenter - presentation titled 'Characterizing the activity of new comets and asteroids observed in the LOOK project' - poster titled 'ASTEROID: A Data Reduction Pipeline for the MOA Telescope' - June - Code/Astro Workshop (online), as an attendee - March - Rocks, Dust and Ice: Interpreting Planetary Data (online), as an attendee

2020 - it was the sad year of COVID, so no conferences :(

2019 - May - RASNZ Annual Conference (New Plymouth, New Zealand), as a presenter - presentation titled 'Galaxy Morphology and Classification'

2018 - May - RASNZ Annual Conference (Christchurch, New Zealand), as an attendee

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Tech Skills

The list of my skills below is very comprehensive, so to summarize, here are my top 5 skills: Python, R, SQL, Git and visualization.

| Skill Area | Skills | | ------------- |-------------| | Programming | Python, R, SQL, Latex, Markdown, Matlab, Shell (bash), HTML/CSS | | Packages & Variants | Python (numpy, scipy, pandas, scikit-learn, astropy, matplotlib, seaborn, PyTorch, CV2, TorchVision, TensorFlow), R (Shiny, dplyr, tidyr, readr, stringr), SQL (MySQL, PostgreSQL, sqlite)| | IDEs and Softwares | VS Code, Anaconda (Spyder), RStudio, MySQLWorkbench, PGAdmin, Weka, Neo4j | | Version Control | Git, GitHub, Bitbucket, GitLab | | Visualization | Tableau, Google Data Studio | | Research Areas | Computer Science (machine learning, computer vision, machine learning security, biometrics pattern recognition), Astrophysics (galaxy evolution and morphology, galactic structure, planetary science, cometary science, stellar structure and evolution), climate modeling, bayesian statistics | | Soft Skills | Technical documentation, oral presentations, poster presentations, academic research skills, collaborations with other people, teams and organizations, mentorship, tutoring, outreach | | Hard Skills | Telescope instrumentation | | Data Science Areas and Techniques | Machine learning, computer vision, adversarial machine learning |

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Certifications

• Jul. 2023 - Introduction to Natural Language Processing in Python, DataCamp.
• Jul. 2023 - Introduction to Data Visualization with Plotly in Python, DataCamp.
• May 2023 - Object-Oriented Programming in Python, DataCamp.
• Mar. 2023 - Cluster Analysis in Python, DataCamp.
• Mar. 2023 - Extreme Gradient Boosting with XGBoost, DataCamp.
• Feb. 2023 - Machine Learning with Tree-Based Models in Python, DataCamp.
• Dec. 2022 - Unsupervised Learning in Python, DataCamp.
• Dec. 2022 - Supervised Learning in scikit-learn, DataCamp.
• Dec. 2022 - Linear Classifiers in Python, DataCamp.
• Nov. 2022 - Reshaping Data with tidyr, DataCamp.
• Nov. 2022 - Writing Efficient R Code, DataCamp.
• Nov. 2022 - Intermediate R, DataCamp.
• Oct. 2022 - Creating Dashboards in Tableau, DataCamp.
• Oct. 2022 - Joining Data with dplyr, DataCamp.
• Sep. 2022 - Building Web Applications in Shiny with R, DataCamp.
• Sep. 2022 - Analyzing Data in Tableau, DataCamp.
• Aug. 2022 - Introduction to the Tidyverse, DataCamp.
• Aug. 2022 - Introduction to Tableau, DataCamp.
• May. 2022 - The Complete SQL Bootcamp 2022: Go from Zero to Hero, Udemy.
• Jan. 2022 - SQL, SoloLearn.
• Jan. 2022 - Pandas, Kaggle.
• Dec. 2021 - Complete Data Science Training with Python for Data Analysis, Udemy.
• Dec. 2021 - Python for Data Science, SoloLearn.
• Jun. 2021 - Code/Astro, Caltech/IPAC.

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