Rubab Khan Email & Phone Number

Seattle, Washington, United States

Seattle, Washington, United States

3-hats: Team Lead, Product Manager, hands-on Architect. Worked cross-functionally with Engineering, Services, and Sales teams. Delivered innovative Machine Learning driven solutions to big data management & analytics challenges.- Led a global team of customer facing ML engineers, Data Scientists and Solutions Architects, empowering team members to manage.

Seattle, WA

Technical Lead for Tamr's North America (Commercial) solutions & services team. Managed experienced engineers and data scientists architecting Machine Learning solutions. Customer verticals: Oil & Gas, Financial Services, Real Estate, Retail Management.- Designed and optimized a 1-Billion records B2C customer data mastering ML-pipeline deployed on AWS for.

Seattle, WA

Customer facing hands-on Data & Product Engineer. Architected and engineered complex data platforms and pipelines. Customer verticals: Health Insurance, BioPharma, Transportation, Public Sector, Software/Cloud.- Delivered deduplicated and consolidated profiles of 600-million product licensees, leading performance optimization of (software/cloud vendor).

Seattle, WA

• Built "CompostMeNot", an app to help Seattlites more easily compost via user uploaded photoshighlights: Product Design, Implementation, Optimization, Validation, Deployment
• Turned the hard to resolve challenge of recognizing diverse images of everyday items into a manageable solution combining Computer Vision, Natural Language Processing and Machine Learning techniques
• Developed the hybrid recommender backend in Python using Google Cloud Vision API, NLTK Lemmatizer, Scikit-learn Countvectorizer and Random-Forest classifier
• Scraped 1,300+ pages from Seattle.gov to train Machine Learning models on telling apart compostables from non-compostables, then cleaned, lemmatized and vectorized data
• Tackled imbalanced classes via class weights, optimized the ML models and end-to-end validated the pipeline using real life user provided images
• Developed the frontend using Python Flask, HTML, Bootstrap

Seattle, WA

• Principal Investigator of an astrophysics data analysis project funded by NASA.highlights: Leadership, Pipelines, Simulations, AWS, Program Management
• Quantified the viability and optimal configuration of the WFIRST Wide Field Imager filter-set along with telescope optics, substantially impacting and changing course of the project
• Enhanced capabilities and fault-tolerance of the application server for UW's Hubble Space Telescope data analysis pipeline on AWS while reducing fixed costs by more than 90%
• Developed a scalable data analysis pipeline for astrophysical simulations, image processing and unsupervised resource allocation optimization through Machine Learning
• Coordinated the diagnostics, debugging and testing of the Space Telescope Image Product Simulator (STIPS) with its developers at the Space Telescope Science Institute leading up to its public release
• Led cutting edge research in stellar evolution, mentored graduate students and delivered public outreach lectures in the Seattle area.

Greenbelt, MD

• James Webb Space Telescope Fellow attached to NASA GSFC's Observational Cosmology Laboratoryhighlights: Discovery, Communications, Public Service, Project Management
• Led team of 5 astrophysicists to analyze data from the Hubble, Spitzer and Herschel space telescopes
• Discovered the first ever analogs of the highest mass evolved star in our Galaxy previously considered unique
• Designed, authored proposal and secured funding for a 3 year NASA Astrophysics Data Analysis Program project

Columbus, Ohio

• Discovered a new class of extraordinarily rare (one in many billions) stars leading an 8 person teamhighlights: Statistics, Python, SQL, Technical Writing, Project Design
• Pioneered novel technique for multi-wavelength image analysis for stellar astrophysics research
• Delivered the first ever mid-infrared stellar catalogs for large star-forming galaxies beyond 2 Megaparsec
• Demonstrated the relation between host galaxies of unusually bright stellar explosions known as Super Chandrashekhar Type Ia Supernovae
• Assisted faculty in teaching senior-level Statistics for Astronomers course to physics and astronomy majors and presented numerous planetarium shows open to the general audience
• Received the James Webb Space Telescope Fellowship from NASA (only one granted every year)

New York, NY

• Led a number of high-impact projects to advance the search of Gravitational Waves (GW) by the LIGO observatories. In recognition, I had the honor of being the youngest inductee till-date of the LIGO Scientific.
• Developed a novel Data Clustering algorithm to identify undefined patterns in noise-limited data, reducing false positive rates >95% via MATLAB implementation for GW burst signal processing pipelines
• Enhanced capabilities of the Soft Gamma Repeater (SGR) Flare data analysis pipeline
• Architected the coherent mode (directional multi-site) of the Quasi-Periodic Oscillation Gravitational Wave search pipeline

B.A., Astrophysics

Activities and Societies: Columbia Experimental Gravity, Society of Physics Students

Doctor Of Philosophy (Ph.D.), Astronomy

M.S., Astronomy