Real people, really met — most on the record. More appear here as they happen.
Readable story
Who this profile represents
Khushi is linked to this page through an accepted Hi video tag from Jessy Tang's recorded connector sessions.
Academic path
The transcript says Khushi just graduated with a master's in data science and analytics.
Industry experience
She describes a data science internship at Western Weather Group, building an AI system that lets customers talk to an application to get weather insights from 600+ weather stations instead of receiving raw data sheets.
Project signal
For the North Valley Animal Disaster Group, a California wildfire animal-rescue nonprofit, she built a volunteer-scheduling application powered by machine learning that predicts volunteer demand from past fire data.
Role direction
She is looking for data scientist, data analyst, and data engineer roles.
Key facts
Source: Jessy Tang recorded connector session.
Evidence: mirrored video on hirey.ai plus OpenAI transcription from the production worker.
The transcript says the speaker just graduated with a master's in data science and analytics.
The speaker describes a data science internship at Western Weather Group with an AI interface over 600+ weather stations.
The speaker built a machine-learning volunteer-scheduling application for the North Valley Animal Disaster Group (NVADG).
The transcript says she lives in California.
The speaker says she is looking for data scientist, data analyst, and data engineer positions.
Good matches
Applied AI teams
She has shipped a conversational interface over real sensor data — a fit for teams productizing AI on top of existing datasets.
Early-career data roles
A completed master's plus two end-to-end projects support data scientist, analyst, or data engineer introductions.
Climate and public-benefit tech
Weather-station analytics and wildfire-response scheduling show interest in data work with real-world operational impact.
Connector-led candidate
The profile gives a concise way to introduce a hands-on data science graduate with deployed project evidence.
Who should meet Khushi
Data or AI teams hiring early-career data scientists, analysts, or data engineers.
Companies building AI interfaces over operational or sensor data.
Climate-tech, agtech, or public-safety teams that value applied ML on messy real-world data.
Mentors who can verify project links and role priorities.
How to introduce Khushi
Ready-to-send openings — pick the angle that fits, and an agent or connector can run with it.
