About
machine learning student at KTH Royal Institute of Technology
Work Experience
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Handle financial transactions and mobile orders efficiently including use of the rewards programs and doordash
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Prepare and serve coffee beans, drinks and food, maintained workspace cleanliness and kept displays stocked
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Engage with customers answering product and promotion questions
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Graduate Teaching Assistant for CS 6630 Visualization for Data Science, CS 1420 Accelerated Introduction to Computer Science, CS 6017 Graduate Data Analytics and Visualization
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Assisted and taught 300+ students by holding office hours, teaching labs, grading and creating assignments
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Reinforced data science and software engineering skills through teaching OOP, Java, Visualization, Machine Learning and Data Science Labs
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Developed efficient complex SQL queries for 10,000 row dataset size using stored procedures and temp tables.
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Implemented new visualizations and KPI Report templates using PowerBI for quality, operations and supply chain data analysis
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Contributed to company efforts to improve manufacturing process using SQL, PowerBI, DAX and Python to mine company data for critical insights.
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Built a set of command line tools to parse and transform raw text data files into geo-json and JSON for data wrangling in python and visualization with d3.js
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Developed a interactive multi-view web visual analytic prototype enabling domain experts to interactively analyze geographical and time-series data concurrently
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Developed a suite of different patient feature data point clouds to apply different different visualization and dimensionality reduction strategies to help domain experts identify features of interest
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Developed visualizations, data wrangling methods and a set of recommendations for domain experts to review for analyzing their patient datasets
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Worked on integrating and refactoring VDL Origraph Project into a domain agnostic feature in MultiNet for wrangling multivariate network datasets as part of the MultiMatrix app in the MultiNet toolkit
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Investigated and developed interaction and visual encodings based on visualization literature and visual analytics tools to develop features for MultiMatrix
- Worked on a project to develop a set of guidelines for determining the appropriate visualization and encoding types based on the output of Tea-Lang programs
- Area of Work: Numerical Methods, Data Wrangling, Data Analysis
Writing
Speaking
Awards
- Awarded a Fall 2020 UROP grant to work on integrating the Origraph tool into the MultiNet toolkit in the Utah Scientific Computing and Imaging Institute.
- Awarded NSF REU Supplement Grant NSF OAC 1835904 to work on integrating Origraph tool into the MultiNet Toolkit in the Utah Scientific Computing and Imaging Institute
- Awarded a 4-year merit scholarship for non-residents of the state of Utah based on high school academic record
Volunteering
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Created tutorials teaching python programming, visualization(observable notebooks, altair, matplotlib)
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Prepared questions and invited guest speakers from industry and academia to present to the Utah Center for Data Science community
Education
- Human-Centered Computing Track - visual analytics and data interaction focus