Ayush Subedi Email & Phone Number

Kathmandu, NP

Greater Reading Area

- Led a team of four data scientists in R&D and deployment across machine learning, statistical modeling, algorithm design, simulation, and visualization. Key projects included AVLidar, Cloud Workforce Performance, Network Theory, Fraud Detection, Unsupervised Learning, and Ad-hoc Data Forensics.- Directed a team of seven professionals including data.

- Managed a team of volunteers and led impactful data projects at Code for Nepal.- Spearheaded a partnership with DataCamp to provide $1,000,000 in scholarships to 1,000+ students and professionals in Nepal.- Fostered a culture of data science and community participation through various initiatives.- Successfully led multiple community-based open-source.

New York City Metropolitan Area

- TA to Harvard and Yale Professors for Amazon Career Choice Data Analytics program, designed to "Transfer lives of Amazon Associates with Data careers".- Trained 50+ students directly, several of whom left Amazon warehouses to find a career in Data.

Developed Masters Level curriculum for Business Intelligence for Nepal, Data Science, and Machine Learning courses, and taught five semesters in total with an average class size of about 26 students.

- Developed a proxy-based statistical literacy indicator for the country of Nepal. 100K news articles from major Nepali media publications were collected and analyzed, and the results were published in a World Bank report.- As part of the open data initiative, consulted the government of Nepal (FCGO) on best practices for the publication of.

- Developed and deployed highly accurate predictive models for diabetic retinopathy and glaucoma. These models have exceeded a 90% accuracy rate, sensitivity, and recall, providing critical support for improved patient outcomes and disease management.- Built and launched a web app to production with robust features, such as authentication, patient.

Kathmandu, Bāgmatī, Nepal

- Developed a high-accuracy (96%) banking anomaly and fraud detection machine learning model for a Silicon Valley startup, significantly reducing fraudulent activities in the banking sector.- Conducted a comprehensive feasibility study for a karaoke bar, including prime location identification through adjusted Voronoi analysis, target market sentiment.

Kathmandu, Bāgmatī, Nepal

- Contributed to multiple projects focusing on strategic planning, data analysis, and algorithm design, offering strategies, analyses, data models, and algorithms across various verticals, including resource optimization, efficient robust algorithm design, churn analysis, and market clustering.- Played a key role in driving operational profitability.

Jawalakhel, Lalitpur

- Key founder in launching a motorbike ride-sharing platform in Nepal's capital in January 2017, responsible for writing the first code line and developing the MVP, which garnered seed investment.- Built and led a team of 35 engineers and staff, scaling the platform to handle 10,000 rides daily, and establishing it as a primary transportation solution in.

Kathmandu

- Led the development of Tootle, a pioneering motorbike ride-sharing platform that evolved from a company prototype to a standalone entity. Innovated by mapping real-time GSM signal strength through user devices to track Sajha buses in Nepal.- Created Edcrayon, a comprehensive educational management platform designed to enhance the classroom experience and.

Indianapolis, Indiana Area

- Established and built robust web and Network Attached Storage (NAS) servers, crucial to the organization's infrastructure and technology backbone, showcasing technical proficiency and attention to detail.- Designed and developed the company's website using Joomla, creating a sleek, user-friendly platform that effectively highlighted the organization's.

Master'S Degree, Computational Data Analytics / Machine Learning, 3.9

Coursework: ISYE iAM 6501 Introduction to Analytics Modeling, CSE iCDA 6040 Computing for Data Analysis-Methods and Tools, ISYE CDA 6740.

Bachelor'S Degree, Applied Mathematics And Computer Science, 3.85