Pooja Pathak Email & Phone Number

California, United States

Palo Alto, California, United States

ML Engineer, SPRITC (Stanford Pediatric Radiology Innovation and Translation Center).https://www.pedrad.radiologyweb.su.domains/node/488

San Diego, California, United States

Graduate Teaching Assistant for COGS 118A - "Supervised Machine Learning Algorithms" (Winter'23), COGS 108 - "Data Science in Practice". (Fall 2021, Winter 2022),COGS 18 - "Introduction to Python" (Fall' 22, Spring '23),COGS 10 - "Cognitive Consequences of Technology" (Spr'22)• Consistently received outstanding evaluations and a full-ride tuition waiver scholarship for teaching project and technical sections for course sizes of 350 to 480 undergraduate students throughout all 6 quarters of graduate school.

• Designed & implemented Python scripts to audit at-risk student graduation predictions, revealing a 60% higher likelihood of falsely predicting on-time graduation for low-income at-risk students.• Developed a post-processing bias mitigation algorithm utilizing IBM’s Reject Option Classification that reduced FPR disparity between ESL & non-ESL students by 11%.• Authored & presented documents on Collaborative Filtering & Bias Mitigation to the Director of DS & the PowerSchool legal team for application to personalized learning

San Diego Supercomputer Center

• Developed Python scripts to parse, analyze and present datasets of 100000+ rows of ASes, relationships, links, paths and prefixes in desired formats for the NSF-funded PANDA research project: CAIDA Resource Catalog • Increased accuracy of DecisionTree-based classifier by 20% by improving training dataset balance for classifying ASes in collaboration with Dr. Cecilia Testart at CSAIL, MIT.

Urbana-Champaign, Illinois Area

• Improved accuracy of the deep learning network from 82% to 90% by implementing a grid search algorithm to optimize & tune hyperparameters to detect & count corn stands through an autonomous robot platform.

Cupertino, San Jose

• Tutored and assisted students with Data Structures in Java.• Topics included - Arrays, Linked Lists, Stacks, Queues, Hashtables, Graphs, and Trees.

Cupertino, San Jose

• Organized and volunteered for the ‘Women in Engineering Conference’ held at SJSU in 2017.• Hosted panels inviting Google employees to talk about their experiences.• Established weekly ‘Common Interview Questions’ discussions within the club.• Helped club members create and edit LinkedIn and GitHub profiles

Master Of Science - Ms, Computer Science And Engineering, 3.92/4.0

• Artificial Intelligence: Principles of AI: Probabilistic Reasoning and Learning, Recommender Systems and Web Mining, Building Systems.

Bachelor Of Science - Bs, Cognitive Science, Emphasis In Machine Learning And Neural Computation - Minor In Computer Science, 3.95/4.0

Relevant Coursework: Supervised Machine Learning Algorithms, Unsupervised Machine Learning, Introduction to AI: A Statistical Approach.

Associate'S Degree, Computer Science

Activities and Societies: Women in CS WiCS | Phi Theta Kappa Honor's Society | Dean's List