Ariana Ghimire
Berkeley,CA
Summary
Cognitive Science and Data Science double major with experience in data analytics, project coordination, and collaborative problem-solving. Interested in contributing to tech, data, and psychology-related projects that drive innovation, clarity, and real-world impact.
Overview
1
1
year of professional experience
Work History
Edx Data Science Developer
Uc Berkeley
Berkeley, California
09.2025 - Current
- Supported the launch of data science modules for Economics and Business courses by preparing, formatting, and publishing Jupyter notebooks on EdX.
- “Otterized” notebooks by integrating autograder tests (Otter-Grader), validating solutions, and ensuring error-free student and instructor versions.
- Collaborated with faculty and the modules team to finalize curriculum materials, resolve technical issues, and streamline the release workflow.
- Performed quality assurance checks across notebooks, verifying functionality, clarity, and alignment with EdX platform requirements.
El Camino Student Developers
UC Berkeley
Berkeley, CA
01.2025 - Current
- Develop Jupyter notebooks using Python and Git to integrate data science into community college courses
- Collaborate with faculty to adapt datasets and curriculum materials for specific subjects like Chemistry and Public Health
- Provide ongoing support and feedback to faculty during the module design and implementation process
- Participate in team meetings to review progress, troubleshoot issues, and refine project goals
- Document and finalize curriculum modules for submission at the end of the semester
Data Science Intern
Alameda County Public Health Department
Berkeley, California
09.2025 - 12.2025
- Collaborated with a student data science team to redesign Alameda County Public Health’s documentation-tracking system used to verify government-funded community health work.
- Developed Power BI dashboards and supporting data pipelines to modernize reporting workflows and give county staff real-time visibility into program progress.
- Cleaned, transformed, and manipulated raw datasets to enable automated reporting, improve data accuracy, and reduce manual administrative workload.
Education
Bachelor of Arts - Cognitive Science and Data Science
University of California, Berkeley
Berkeley, CA05-2027
Skills
- Programming & Tools: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, Java, R, Jupyter Notebook, Git/GitHub, VS Code, IntelliJ, Excel, Copilot
- Data Analysis & Modeling: Data cleaning and preprocessing, feature engineering, exploratory data analysis (EDA), regression analysis, A/B testing fundamentals, statistical modeling, handling large structured datasets (CSV/JSON)
- Machine Learning Foundations: Train/test splits, cross-validation, model evaluation metrics, baseline modeling concepts
- Data Engineering & Pipelines: Automating data cleaning workflows, reusable Python scripts, ETL-style processes, working with APIs, data quality validation
- Visualization & Reporting: Power BI dashboards (DAX data modeling), Python visualizations, interactive Jupyter widgets, communicating insights to stakeholders
- Collaboration & Workflow: Agile teamwork, project coordination, documentation, code reviews, translating technical findings for non-technical audiences
- Languages: Nepali (native), English (fluent)
Timeline
Edx Data Science Developer
Uc Berkeley
09.2025 - Current
Data Science Intern
Alameda County Public Health Department
09.2025 - 12.2025
El Camino Student Developers
UC Berkeley
01.2025 - Current
Bachelor of Arts - Cognitive Science and Data Science
University of California, Berkeley