• Built a RoBERTa-based multilingual sentiment analysis system analyzing contributor feedback across three languages — streamlined cognitive interviews and compressed a months-long process to two weeks.
• Integrated Gemini, OpenAI, and Hugging Face APIs to accelerate legal document review, automate text classification, and generate structured summaries at scale across the World Bank law library.
• Pioneered a hierarchical dataset for economies globally using pattern- and rule-based imputation for missing data points, with automated quality checks and Tableau dashboards.
• Developed an automated legal text analysis workflow on Azure (Blob Storage, Azure ML) to identify gaps and inconsistencies across the World Bank law library, saving significant manual review time.
• Built interactive ML prototypes and Tableau dashboards enabling predictive insights and reducing data processing time substantially.
• Cleaned, standardized, and validated legal basis documentation for Bank Wide Review files, improving traceability and compliance with World Bank data governance standards.

• Analyzed IT asset inventory using advanced Excel (PivotTables, VLOOKUP, conditional formatting) to identify security vulnerabilities and forecast device replacement risks.
• Contributed to high on-time issue resolution and significant reduction in average walk-in support wait time through efficient technical troubleshooting.

• Deployed a multimodal user behavior system using YOLO, BLIP, and PaddleOCR via FastAPI — converting gallery images into LLM-generated user personas for personalized recommendations.
• Integrated OpenAI API and open-source LLMs (LLaMA 2, Phi-2) for personalized email/SMS generation with tone analysis and automated reply suggestions; deployed on AWS Lambda and S3.
• Fine-tuned GLiNER for named entity recognition (F1: 85%) and BART for automated task prioritization integrated with Google Calendar for real-time scheduling.
• Built a GIS-based restaurant recommendation engine using Word2Vec and FAISS embeddings on user-preferred ingredients.
• Led an Agile team delivering statistical models and executive dashboards, cutting reporting cycle from two weeks to three days through interactive Tableau visualizations.

• Developed a Random Forest fraud detection system with high recall — identified and prevented significant financial losses on the platform.
• Built Auto ARIMA call volume forecasting, reducing prediction error and enabling accurate capacity planning.
• Conducted RFM/CLV customer segmentation contributing to retention improvements across the platform.
• Built ETL pipelines on Alibaba Cloud consolidating call, order, and customer data; automated workflows saving over 100 person-hours across departments.
• Applied Hadoop for large-scale e-commerce data processing; performed SQL ad-hoc analyses for the Marketplace team. Standardized brand names to improve search visibility and CTR.

• Scraped 15,000+ rural hospital records via Python and REST APIs; built ETL pipeline identifying critical supply chain bottlenecks that changed health policy for rural communities.
• Built a logistic regression readmission risk model with interactive Power BI dashboards for regional health administrators.
• Implemented advanced data cleaning pipelines handling missing and inconsistent entries, improving dataset reliability for downstream analytics.

• Provide logistical, administrative, and student support for SEAS graduate admissions and student services — assisting with application processing and event coordination.
• Manage prospective student engagement through Unibuddy and Salesforce CRM, maintaining pipelines and ensuring timely follow-up with applicants across the admissions funnel.
• Serve as a first point of contact for prospective students — conducting advising conversations, answering program inquiries, and representing the school at recruitment events.
• Support graduate enrollment strategy by tracking engagement metrics and coordinating communications across the admissions team.

• Guided students in using Adobe Express for academic, creative, and personal projects.
• Planned and delivered workshops teaching practical applications of Adobe tools.
• Partnered with faculty, staff, and student organizations to increase on-campus adoption.
• Engaged with the global Adobe Student Ambassador network to exchange best practices.

Supported the George Hacks hackathon by coordinating communications and disseminating information to participants throughout the event cycle.

Supported logistics and operations for one of the largest international economic and development conferences globally.

Featured in GW Today's "Revolutionary Tales" series sharing personal journey and experiences as an international student at GWU.

Mentored women entering artificial intelligence, providing guidance on career paths, technical skills, and project development.

• Led organization of on-campus program involving 300+ participants and 12 mentors.
• Managed social media campaigns and coordinated media outreach for event visibility.
• Screened candidates, conducted interviews, and judged initial proposal rounds.
• Conducted orientation sessions across 12 engineering colleges guiding ambassadors and participants.

• Guided 30 student projects for a national exhibition; organized sessions for 600+ engineering students.
• Hosted industry talk shows and organized a drone competition.
• Conducted digital literacy and internet safety programs for 500+ students in a remote Nepali village.

Helped rural children get familiar with technology and labs, introducing computing concepts and hands-on learning to underserved communities.

• Coursework: Python Programming (NLP), Data Analytics, Machine Learning, Big Data Analytics, Computer Vision, Deep Learning & Neural Networks, Cloud Computing (AWS), Database Management Systems, Design & Analysis of Algorithms
• Adobe Student Ambassador · SEAS Engagement Ambassador · IMF & World Bank Annual Meeting Volunteer
• Featured in GW Today — Revolutionary Tales · George Hacks · Johns Hopkins Hackathon

• Coursework: Data Structures & Algorithms, Artificial Intelligence, Database Management, Computer Networks, Operating Systems, Embedded Systems, Signal Processing, Object-Oriented Software Engineering, Big Data Technology
• Fully merit-funded scholarship including on-campus residence · Nepal Engineering Council — Certified Engineer
• Organized Locus — Nepal's largest tech fest · HultPrize at IOE (CSA Program of the Year) · Girls in Tech AI Mentor