Machine Learning Software Development
Resume:
Marcus Weaver
*******@********.***
EDUCATION
● University of Virginia,
Bachelor of Arts, Double Major
in Computer Science and Data
Science
Charlottesville, VA
Relevant Coursework: Calculus I and II, Linear Algebra, Differential Equations, Foundations of Machine Learning, Cybersecurity, Data Structures and Algorithms, Discrete Mathematics, Computer Systems and Organization, Software Development Essentials, GIS Methods EXPERIENCE
Projects:
Utilized publicly available data to create choropleth and hotspot maps analyzing walkability and accessibility, illustrating that certain neighborhoods in NYC are more walkable based on parcel number and relative distance to grocery stores, schools, roads, bike lanes, and other primary destinations.
Methodized a stock identification system of any publicly traded company using an API key generating information about companies such as AAPL, AMZN, and MSFT from Yahoo Finance.
Followed objectives to create a Discord Bot using time-sensitive tokens that would create specific answers to specific prompts, as well as continue a conversation indefinitely depending on the input from the user.
Collected preexisting continuous temperature dataset to build a graphic visualization of annual change in temperature based on anomalies since a pre-industrial period, illustrating an annual increase across all seasons in recent years since 1880.
Created a hypothetical “vacation package” to Ganymede, one of Jupiter's many moons, including a brochure, recorded advertisement, and terms of contract. See advertisement here:
https://drive.google.com/file/d/1XXnLgi7rREMCzMVZKdmjhwsKr2t1Sdyg/view?usp=sharing
Practiced with machine learning to make visualizations comparing religion and education, factors such as employment, and various other demographic data across the Virginian commonwealth. Built a regression model to predict gerrymandering and the number of democrat or republican voters in a given locality for a presidential election and validated testing data. Backend Developer at DNA Learning Center of Cold Spring Harbor Laboratory (Full Time):July 2024 - Current
Aided in building DNA Subway 2.0, a bioinformatics website useful for DNA barcoding in academic and research settings part of the multimedia suite. Achieved 99.8% uptime for production services supporting 500+ daily active researchers"
Focused on functional production of the blue line, meeting project deadlines and applying stakeholder feedback.
Implemented a novel algorithm for blocking out noise and trimming a sequence’s forward and reverse reads for matching to a consensus sequence.
Built metadata and big data endpoints that stored sample location, description, and user who collected the specimen, creating matching databases for users with unique identifiers.
See website here, which consists of Django framework of Python in the backend and React JS in the frontend with a docker container: https://dnasubwayv2.dnalc.org/dashboard
Managed development server of website and signaled to TAPIS server to offload job calls. Optimized backend to handle 100,000+ concurrent DNA sequence analyses
Spearheaded ETL pipeline to build a data analytics dashboard to track company metrics such as visitations per location, and suggested key areas for improvement. ETL pipeline processes 2TB+ of analytics data daily with <1% error rate
Performed data manipulation, data processing, and database queries of appropriate areas by calling to relational databases of interest to gather insights.
UVa Computer Science Department Teacher’s Assistant: January 2022 - May 2022
Led two 25 to 30 student lab groups twice per week, with weekly office hours via Zoom or in-person meetings.
Helped lead review sessions, facilitated small-group discussions, and summarized course content in weekly lab reviews, preparing students for their weekly lab activity.
Graded 800+ assignments in the semester.
Collaborated with instructors and fellow teaching assistants to best improve the educational experience and to coordinate the grading and structure of the course.
ADDITIONAL INFORMATION
Programming: SQL, HTML, JavaScript, Tableau, RStudio, Python, C++, Snowflake, Spark
Interests and Hobbies: Politics, Sports, Philosophy, Cooking, Music, Foreign Languages
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