Principal Applied Scientist @ Zillow | Agentic AI, NLP, ML, Search
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine learning engineer at Zillow Group. Expertise in machine learning, natural language processing and information retrieval.
UC Irvine
M.S, Computer Science
January 1, 2010 – January 1, 2012
Amrita Vishwa Vidyapeetham
BTech, Computer Science & Engineering
January 1, 2006 – January 1, 2010
Zillow Group
Principal Applied Scientist
December 1, 2017 – Present
New York, United States
Conversant LLC
Associate Director - Decision Sciences
February 1, 2014 – September 1, 2017
San Francisco Bay Area
SET Media Inc.
Classification Engineer
October 1, 2012 – February 1, 2014
UC Irvine
Graduate Student Researcher
July 1, 2011 – September 1, 2011
Automated Tagging and Segmentation of Video Lectures using Keyphrase Extraction
January 1, 2009 – January 1, 2010
As team leader, conducted extensive research and developed a new lecture browser system that addresses the challenges of automatic tagging, summarization, segmentation and searching in classroom lecture videos using techniques from machine learning, NLP and information retrieval.
Cultural Fit Analysis
The candidate has a strong background in research and applied science roles, indicating a focus on innovation and problem-solving. The project diversity, ranging from academic research to industry applications in ad targeting and real estate (Zillow), suggests adaptability. However, the target role of 'Data Analyst' might be a step down from 'Principal Applied Scientist' or 'Associate Director - Decision Sciences', potentially indicating a mismatch in career trajectory or expectations. The lack of specific project details for recent roles makes it difficult to fully assess alignment with a typical data analyst role's day-to-day tasks.
Soft Skills & Operational Fit
The candidate's experience as a team leader and lead engineer suggests strong leadership and project management skills. The description of developing software for novice users indicates an ability to translate complex technical concepts into user-friendly solutions. However, specific details on collaboration, stress handling, or work attitude are not available from the provided data.