Supply Chain, Data Science, Machine Learning

Rashila Lamichhane

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EDUCATION

Oregon State University Corvallis, OR

Master of Science in Computer Science, GPA: 3.88/4.0 September 2022 - June 2025

• Research Focus: Causal Inference for supply chain resilience and decision-making

• Courseworks: Probabilistic Graphical Models; Statistical Learning; Scalable Querying & Machine Learning; Algorithms : Design, Analysis and Implementation; Introduction to Parallel Programming, Causal Inference; Estimation, Filtering and Detection

Tribhuvan University Nepal

Bachelor in Computer Engineering, GPA: 4.0 January 2020 TECHNICAL SKILLS

• Programming Languages: Python, SQL, C/C++

• AI frameworks: Tensorflow, Keras, Pytorch

• Data science libraries: scikit-learn, numPy, pandas, matplotlib, causalml

• Cloud Platforms: Azure, AWS

• Tools and Technologies: Git, MATLAB, Spotfire, Tableau

• High Performance Computing: OpenMP, SIMD, CUDA, OpenCL, and MPI RESEARCH EXPERIENCES

Oregon State University Corvallis, OR

Graduate Research Assistant April 2024 – Present

Project 1: Causal Modeling for Resilient Supply Chains

• Co-authored a paper ”The Indispensable Role of Causality in Building Resilient Supply Chains”, accepted for full presentation at the AAAI 2025 Bridge Program

• Developing causal frameworks for supply chains using probabilistic graphical modelling techniques

• Defining and quantifying network effects in supply chains like ripple effects and bullwhip effects using causal do-intervention queries

• Designing effective interventions to develop algorithm for supply chain resilience against disruptions Project 2: Causal Discovery with Missing Not at Random(MNAR) Data

• Addressing the challenge of MNAR graph, where the variables causes their own missingness (self-masking)

• Recovering latent causal structures from MNAR data using inductive causation with latents algorithm

• Developing novel causal discovery algorithm to learn causal graphs and infer underlying data-generating processes in MNAR missingness case

Nepal Academy of Science and Technology(NAST) Nepal Principal Investigator under COVID-Combat Initiative July 2020 – August 2022

• Secured research grant from the Ministry of Science, Nepal Government, to develop a system for early COVID-19 detection using chest X-ray images

• Led the end-to-end design and implementation of a deep learning classification pipeline using pre-trained Convolutional neural network(CNN) architectures (VGG16, ResNet50, InceptionV3, Xception)

• Implemented the project using python and PyTorch and deployed with Flask web framework WORK EXPERIENCES

ASML Hillsboro, OR

Application Engineer/Data Science) Intern June 2024 – September 2024

• Designed a data visualization tool, accelerating plot generation by 90% that enabled rapid productivity anal- ysis and also, deployed the software company-wide

• Engineered an automated monitoring system to streamline data analysis, cutting the manual reporting time by 70% that helped improved operational efficiency by 35%

• Presented key findings to senior leadership and delivered data-driven insights that influenced strategic plan- ning and workflow optimization.

ASML Hillsboro, OR

Application Engineer Intern June 2023 – September 2023

• Led the development of automated dashboards to optimize data-driven decision making in the productivity monitoring of ASML’s DUV (Deep Ultra Violet) lithography systems.

• Achieved a 40% reduction in manual labor hours by automating the complex productivity assessments, contributing to the Productivity competency across operations

• Showcased the final results to a large team of APPS throughout the US, highlighting the productivity en- hancements achieved for ASML DUV scanners

TEACHING/MENTORSHIP EXPERIENCE

Oregon State University Corvallis, OR

Graduate Teaching Assistant September 2022 – April 2024

• Led lab recitations and office hours for over 120 undergraduate students, including 12 students with learning disabilities, emphasizing inclusive teaching practices and adaptability

• Served as Head TA(Teaching Assistant) for Data Structures and Algorithms (CS 261) and Assembly Language and Computer Architecture (CS 271); oversaw grading, and provided detailed student feedback

• Collaborated with instructors to design quizzes, assignments, and exams; also proctored assessments to ensure academic integrity and a fair learning environment Institute for African American Mentoring in Computer Science (IAAMCS) United States Academic Mentor Jan 2024 - Present

• Providing hands-on computing research practice through academic year research experiences, robotics com- petitions, and methodological training for undergraduate students

• Facilitating monthly writing workshops, presentations, and technical webinars LEADERSHIP AND AWARDS

• Talent Bursary Recipient, Upper Bound Conference 2025, Alberta Machine Intelligence Institute(Amii)

• AcademicMentor,Institute for AfricanAmericanMentoringinComputerScience(IAAMCS) (2024 - Present)

• Attendee & Poster Presenter, Graduate Cohort for Women 2024, Computing Research Association(CRA)

• Scholar, Grace Hopper Conference 2023

• Travel Grant Recipient and Attendee, Society of Women Engineers(SWE) Local Conference 2023

• Phase 1 Finalist, OpenCV AI competition 2021

• Research Grantee, Nepal Government, Nepal Academy of Science and Technology (NAST), 2020

• Nominee, WomenTech Global Awards 2020, WomenTech Network

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