Raghav Saboo
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
RecSys and Search Lead @ Doordash | AI/ML Leadership | Scaling Business Impact through AI
Hello! I enjoy connecting dots: be it ideas from different disciplines, people from different teams, or applications from different industries. At DoorDash, I lead Personalization & Search - connecting the worlds of retrieval, ranking, and language models into systems that shape what millions of people discover every day. Recently my work has focused on semantic retrieval (RQ-VAE, generative retrieval), agentic systems, LLM personalization, consumer facing agents, query intent understanding, and multi-task ranking. I have strong technical skills and an academic background in engineering, statistics, and machine learning. I also have proven ability to work and deliver high-quality products for major organizations. Ultimately my passion lies in solving business problems with tailored data and algorithms, and communicating complex ideas to non-technical stakeholders.
Duke University
Master’s Degree, Statistics, Machine Learning, Econometrics
N/A – Present
Harrow International School
A Levels and IGCSE, High School/Secondary Diplomas and Certificates
N/A – Present
Imperial College London
MEng, Chemical Engineering
N/A – Present
DoorDash
Uber Tech Lead - Personalization & Search - Machine Learning Engineer
August 1, 2021 – Present
New York City Metropolitan Area
Amazon
Research Scientist
January 1, 2021 – January 1, 2022
New York City Metropolitan Area
KPMG US
Manager - Machine Learning Engineer
January 1, 2018 – January 1, 2021
KPMG US
Senior Associate - Data Scientist - Machine Learning
January 1, 2017 – January 1, 2018
The World Bank
Short Term Consultant (Policy Data Scientist)
January 1, 2016 – January 1, 2016
Raleigh-Durham-Chapel Hill Area
Deloitte
Consultant
January 1, 2016 – January 1, 2017
New York City Metropolitan Area
Duke University
Data Scientist (Duke Energy Initiative)
January 1, 2015 – January 1, 2016
Raleigh-Durham-Chapel Hill Area
Dhoop Energy
Co-Founder
January 1, 2015 – January 1, 2016
Raleigh-Durham-Chapel Hill Area
Air Products and Chemicals
Project Development Engineer
January 1, 2013 – January 1, 2014
United Kingdom
Air Products and Chemicals
Process Control Engineer
January 1, 2012 – January 1, 2013
United Kingdom
Aditya Birla Group
Process Engineering Intern
January 1, 2010 – January 1, 2010
Rayong, Thailand
Detecting the presence of solar panels on the roofs of buildings across USA using machine learning techniques.
May 1, 2015 – Present
Satellite imagery has been used previously for estimating the potential for solar energy production on rooftops, as well as detecting the location of buildings. We will expand on these concepts by detecting the presence of solar panels on the roofs of buildings using machine learning techniques. This process can be divided up into (a) detecting rooftops among large orthoimages, (b) detecting solar panel upon roofs, (c) estimating the capacity of the solar panels, and (d) using solar insolation and geospatial data to estimate solar energy production.
The University as a Laboratory for Smart Grid Data Analytics
September 1, 2014 – May 1, 2015
Our team looks to go beyond implementing existing machine learning algorithms for analyzing energy data, and begin innovating to create new techniques. We’ll consider new data sources which may include weather data, water use, steam use, and wireless network activity to increase machine insight and to drive algorithm development and predictive modeling. Using those data, our team will also design and execute behavioral science experiments using on-campus facilities as test systems. The deliverables of this project will be: (1) a novel algorithm for performing energy data analysis which expands upon existing techniques and is of publishable quality, (2) a report on behavioral science experiments which address the relationship between smart meter data and energy efficient behavior and what formats and rates of data feedback are most effective in encouraging energy efficient choices.
Machine Learning Engineer Nanodegree
Udacity
June 24, 2026 – Present
Google Cloud Certified Professional - Data Engineer
Google Cloud Certified
June 24, 2026 – Present
Triplebyte Certified Data Scientist
Triplebyte
June 24, 2026 – Present
Triplebyte Certified Machine Learning Engineer
Triplebyte
June 24, 2026 – Present
Introduction to Finance
Coursera
June 24, 2026 – Present
Model Thinking
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across tech giants (DoorDash, Amazon), consulting (KPMG, Deloitte), and international organizations (World Bank) indicates adaptability and exposure to various work cultures. Their involvement in projects like 'Detecting the presence of solar panels' and 'The University as a Laboratory for Smart Grid Data Analytics' shows an interest in impactful, data-driven solutions. The co-founder experience at Dhoop Energy highlights an innovative and problem-solving mindset. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards 'Machine Learning Engineer' and 'Research Scientist' roles, which are typically more advanced than a standard Data Analyst position. This might indicate a potential mismatch in role expectations or an overqualification for a pure Data Analyst role, but could be a strong fit for an advanced Data Analyst or Data Scientist role with ML components. The breadth of skills and project diversity suggest a strong cultural fit for organizations valuing innovation and data-driven decision-making.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentorship skills through their roles as Tech Lead at DoorDash and team leader at Duke University. Their experience at consulting firms (KPMG, Deloitte) suggests strong client communication and problem-solving abilities. The co-founder role at Dhoop Energy indicates entrepreneurial drive and initiative. The description of collaborating with cross-functional teams and fostering innovation points to good team collaboration and a proactive work attitude. However, without psychometric test results, a full assessment of stress handling and specific work attitude traits is not possible.