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Experience
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Current Positions
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Viasat | Data Science/Analyst Intern | Jun 2024 - Present
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  • Aggregate/transform 50GB+ of satellite usage and capacity datasets to model a network demand prof. using Amazon Athena
  • Developing ML algorithms to optimize satellite capacity allocation by efficiently querying a data lake to extract capacity info and analyze a complex search space to converge on and evaluate optimal solutions
  • Implementing Bayesian hyper-parameter tuning with Amazon SageMaker, leveraging parallel processing strategies to achieve accelerated model convergence
  • Presenting comparative visual analysis (GeoPandas, Shapely, Matplotlib) of pre- and post-optimization network states to key stakeholders, illustrating improvement in capacity allocation and overall beam utilization

Past Positions
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Eleven58 | Lead Data Engineer | Jan 2024 - June 2024
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  • Optimized a Python-based object detection deep learning model through using 10,000+ proprietary high-quality images of industry-specific recyclables used in an automated waste sorting mechanism
  • Augmented and manually annotated additional data sources (CVAT) and prepared them for use in model training
  • Established roles within team, set weekly agenda/deadlines, translated business insights into technical concepts

Przytycki Lab | Genomics Research Assistant | Aug 2023 - Jan 2024
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I began my position as an research assistant in The Przytyci Lab of Boston University in August, 2023. The research undertaken in our group develops algorithms for analyzing and interpreting large-scale genomic data. I’m thrilled to be a part of such cutting-edge work that has potential of helping other humans. We use a combination of networks, graph-theory, and statistics to build intuitive models of underlying biological processes.

Accomplishments
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  • Processed vast amounts (30,000+) of multimodal data using an R-based algorithm to understand diseases processes
  • Developed Python/R algorithms to preprocess and break down large-scale genomic data for analysis and comparison
  • Integrated patch-seq data with single-cell RNA-seq data with a network-based model to label the patch-seq data to find similarities within the two, leading to conclusions within gene regulation similarities and neurological processes

Capital One | Software Engineering Intern | Jul 2023 - Aug 2023
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During July and August 2023, I had the opportunity to participate in a Software Engineering Summit by Capital One. As part of the summit, a team of developers, including myself, were tasked with designing and prototyping a software application related to one of the core areas of Capital One. My team developed a financial literacy app aimed at college-aged students. Our app included an interactive game to teach financial literacy, a real-time chatbot, as well as thoughtfully designed data visualizations to communicate spending trends of the user.

At the conclusion of the summit, all teams presented their applications. I’m proud to report that our app was selected as a finalist and was ultimately in the top 1% of submissions.

This was a very meaningful experience as I was able to expand my teamwork skills, explore and hone some software development skills, and put modern UX/UI practices to work.

Tools we used in designing and implementing the app include:

  • React Native (including HTML, CSS, and JavaScript)
  • API access for building the chat bot
  • Figma for wireframing