LiveCareer-Resume

research mentor resume example with 5 years of experience

JC J S S JS J S S JS J S S JS J S S JS J S S JS J S S JS
Jessica Claire
, , 100 Montgomery St. 10th Floor (555) 432-1000, resumesample@example.com
Summary
  • Ingenious problem solver and research mentor lead over 4 US Army Research Lab (ARL) projects and significantly contributed over 10 NSF projects at Worcester Polytechnic Institute (WPI)
  • Friendly and self-motivated researcher on small datasets via human prior, self-supervision, and transfer learning
  • Pioneer to design and build iOS apps and web platforms while conducting interdisciplinary data research
Education and Training
Expected in 05/2024 to to Ph.D. | Data Science Worcester Polytechnic Institute, Worcester, MA GPA:
  • GPA: 3.9/4.0, Research Mentor (Founding Research Assistant) and Graduate Qualifier Project Mentor
  • Advisor: Professor Elke A. Rundensteiner https://daisy.wpi.edu
  • US Army Research Lab Grant Recipent https://arl.wpi.edu/#members
  • NSF CEDAR Trainee https://wp.wpi.edu/cedar/trainees-2/
Expected in 05/2016 to to Master of Science | Statistics George Washington University, Washington D.C., GPA:
  • GPA: 3.7/4.0, Teaching Assistant: Business & Economics Statistics I, II
Expected in 06/2014 to to Bachelor of Science | Statistics Anhui University of Finance And Economics, Bengbu City, GPA:
  • GPA: 3.6/4.0, Major GPA: 3.9/4.0, Ranked in Top 1 % of Major
  • Graduation with Honor Award, Best Bachelor Thesis, Excellent Student Cadre, Champion of College Debate
Experience
01/2019 to Current Research Mentor Texas Christian University | Fort Worth, TX,
  • Lead and mentored over 40 students and researchers, majoring in data science, computer science, material science, statistics etc., handling 4 applied machine learning research projects on Adhesives, Corrosion, Aviation & Missile Technology, and Cold Spray sponsored by US CDCC Army Research Lab and PPG to WPI over 2 years
  • Designed and developed a production-ready iOS APP and a Context-Aware Shared Agile Platform (ARL-CAAP) aimed at smart material discovery with Human-in-the-loop based active learning from data collection, management, advanced visual analytics, machine learning to design of experiments
  • Focused on applied computer vision research in material assessment and generation across indoor and outdoor experiments on small data; published top papers on IEEE Big Data, BMVC, etc.; mentored graduate students sponsored by ARL and NSF CEDAR program to work on more fellowship fundings
02/2018 to 08/2018 Core Technology Researcher (Intern) AI Research, Core R&D, USTC-iFLYTEK CO. | City, STATE,
  • Deliberately developed 100+ high-efficient features to detect Alzheimer's Disease via patients’ Handwriting, Speech, Language (NLP), and Facial Expression on videos (Computer Vision) with medical doctors
  • Proficiently engined the clinical diagnoses via the subtracted features in Machine Learning models such as CART, RF, SVM, CNN with 90%+ accuracy; built a software embedding the models and published patents with developers
  • Well-collaborated with research teams from MIT CISCIL and USTC on multi-modal human cognition projects
01/2018 to 02/2018 Big Data Engineer (Intern) Consumer Business Group, USTC-iFLYTEK CO | City, STATE,
  • Fast and accurately created 10 effective features to assess online consumers’ credits from Mobile App behaviors in 200 million daily users’ devices using Hive in Xshell on a distributed database
  • Completed a feasibility study in consumers’ Online Financial Risk Control after cleaning DMP data from Consumers’ Contexts, App behaviors, and Typed Texts using Genism Word2Vec, LDA, Scikit-learn and Seaborn
05/2016 to 12/2017 Research Assistant Worcester Polytechnic Institute | City, STATE,
  • Proved significant business impact of a web platform to tutor K-12 students via statistical learning on 200+ Randomized Control Trials such as: human involvement, video or text hints, handwriting or typing, etc.
  • Published Heterogeneous Treatment Effects for personalized learning on the platform using causal trees and causal forest; successfully narrowed down confidence interval with massive human-related features using Subgrouping, Hierarchical Linear Modeling and Bayesian Hierarchical Regression (Stan), Logistic Regressions in R/Python
  • Efficiently built 24 essential features based on 3 kinds of student performances on 8 types of assignments from 200+ SQL tables; well solved data cleaning issues and improved the usability of the lab database
Skills
  • Languages: Python, R, Javascript, HTML, Latex
  • Frameworks: PyTorch, TensorFlow, Keras, D3, OpenCV, Pandas, Numpy, Sklearn, ReactJS
  • ML Ops: Docker, Turing, Weights and Biases, Tableau, SAS, Hyper-Parameter Tuning

  • Databases: Mysql, PgAdmin, GrantaDB
  • Big Data: Hive, Xshell, Spark, CUDA
  • Project Management: GitLab, Jira, Confluence
  • Machine Learning: Causal Forests, t-SNE, Self Supervision, Domain Adaptation, Style Transfer

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy

Your data is safe with us

Any information uploaded, such as a resume, or input by the user is owned solely by the user, not LiveCareer. For further information, please visit our Terms of Use.

Resume Overview

School Attended

  • Worcester Polytechnic Institute
  • George Washington University
  • Anhui University of Finance And Economics

Job Titles Held:

  • Research Mentor
  • Core Technology Researcher (Intern)
  • Big Data Engineer (Intern)
  • Research Assistant

Degrees

  • Ph.D.
  • Master of Science
  • Bachelor of Science

By clicking Customize This Resume, you agree to our Terms of Use and Privacy Policy

*As seen in:As seen in: