- Education
- Peer-Reviewed Journal Publications
- Data Science Community Involvement
- Conferences Attended
- Tech Skills
- Certifications
- 👩💻 PhD in Computer Science and Engineering, University of Connecticut (incoming Fall 2024)
- 📝 MS in Data Science, Pace University (May 2022 - Dec 2023)
- 👩🎓 BSc (Hons) in Astrophysics, University of Canterbury (Feb 2018 - Nov 2021)
- 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.
- 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.
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
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), 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 |
| Visualization | Tableau, Google Data Studio |
| Research Areas | 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, artificial intelligence |
- 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.