・ Created Python script that links to SQLite database in order to update/track employee software/service permissions・ Employed PowerOn programming language to generate a comprehensive data validation report identifying missing confidential customer data such as SSN and DOB・ Utilized a Help Desk ticketing system for efficient task management, maintaining regular communication with requesters to ensure precise and timely deliverables・ Managed project to remove large quantity of unused computational assets such as servers, desktops, laptops, monitors, etc, involving communication between vendor and internal stakeholders

Reviewed and assessed Python code produced by an AI chatbot, analyzing its output in response to user input prompts.

• Conducted research literature review on 20+ papers to identify 3 key metrics influencing ionospheric behavior• Implemented Python Selenium for data mining, extracting relevant information over a 10-year period for one of the key metrics• Utilized Python to process gigabyte-sized time series dataset over a 10 year period, implementing a rolling median for aggregated metrics computation• Employed FTP to access a public server, mining daily data availability details for position receiver stations across Australia spanning a 10-year period• Developed a Python mapping algorithm utilizing this data to identify existing stations with 100% data availability for any given day, aiding in the selection of optimal locations for proposed position receiver stations• Ranked days with the highest values for each metric over a 10-year period to identify and prioritize periods of strong ionospheric behavior and presented findings to colleagues/stakeholders for further analysis

• Provided business insights to stakeholders including program chairs, coordinators, and professors by leveraging ad-hoc analyses and statistical inferences using SQL, Excel and Python• Created programs automating attendance reports, saving over 10 hours of work time per week, by doing ETL (extract, transform and load) using Pandas, Selenium and other Python packages• Showcased over 1300 students’ jobs for market research purposes through the creation of an interactive Tableau dashboard• Gave presentation/tutorial on data analysis best practices and how to visualize data using Tableau to over 100 graduate students• Performed multiple audits using SQL to identify anomalous data of students enrolled in courses which they previously passed

• Wrote BASH script to distribute thousands of Python jobs to a computer cluster• Created visualization using Python Matplotlib to justify search for neutron stars using data analysis (Publication https://arxiv.org/abs/2212.03855)• Trained and mentored new data analysis research assistant in Python/Physics, where she reached self-sufficiency and could carry out her own projects/research• Presented project progress to fellow colleagues and faculty on a weekly basis, making sure to express my ideas/concepts at an understandable level• Collaborated regularly with scientists from other university research groups to fulfill project goals

• Discovered trend in gravitational wave model by visualizing hundreds of thousands of data points as a 3D colored scatter plot in Python Matplotlib• Presented research results in various poster presentations to audiences of all knowledge levels• Lead a summer intern on research project involving data analysis of gravitational waves using Python

• Collaborated with team to debug Python implementation of mathematical model for various instruments’ noise spectrum• Aided in the building of an interferometer for the purpose of scientific outreach to kids interested in science

• Administered personalized math and physics tutoring sessions to students by analyzing misunderstandings of material• Took diligent in-class notes to create exercise problems and solutions to be used in SI sessions• Led SI sessions where students would work together to solve algebraic exercise problems• Invoked socratic method – where guided questions are asked to lead one to correct answer – to give students tools to solve math problems self-sufficiently