Aziz Ketari work email
- Valid
- Valid
Aziz Ketari personal email
Aziz Ketari phone numbers
Aziz Ketari is a Lead Product Manager AI and ML at HouseSigma. He possess expertise in leadership, parler en public, project management, matlab, latex and 21 more skills. He is proficient in English. Colleagues describe him as "Aziz is a good planner and executes projects successfully because of his strong technical skills and ingenuity. He is a strong communicator who can navigate through execution roadblocks and deliver a customer engagement effectively once the objectives have been set. I would have no hesitation recommending Aziz.", "Aziz was a pleasure to work with. He was able to understand the client perspective and use this perspective to design a project plan that ultimately led to the successful delivery of a product that exceeded expectations. Throughout our engagement he was organized, thorough, and had great communication with everyone on the team. Aziz was critical to leading the team towards a strategic vision and creating alignment in a cross-functional setting.", and "Aziz is an amazing all-round personality, and has shown great maturity for his age, whether in handling customers, leading teams, conducting consulting workshops for clients, or be it following a methodical approach to problem-solving. He sets the bar high, continues to inspire the team by branding our work and our values at Quantiphi. A good leader in the making"
-
Lead Product Manager Ai And MlHousesigmaCanada
-
Product ManagerAsana Jun 2022 - PresentSan Francisco, California, UsBuilding the best enterprise grade collaboration tool.Areas of expertise --> Identity- User account for enterprise SaaS- Authentication- Admin features for user management- Security & Privacy (e.g GDPR)- Identity providers (e.g features that leverage SAML, SCIM) -
Product ManagerYelp Dec 2020 - Jul 2022San Francisco, Ca, UsAds Product Manager working cross platforms (On/Off Yelp) and segments (Local, Multi-locations) to define, prioritize, and execute on ad products roadmap. Areas include omni-channel campaigns, campaign controls, audience size estimators, click propensity prediction, and others.Defined and drove the vision for Ad Products on and off Yelp for more than 100k advertisers.Collected advertisers’ needs and built backend of awareness and performance campaigns to optimize reach to low funnel (high intent) customers.Worked closely with Data Science and Machine Learning engineering teams to drive product enhancements and leverage existing data to power machine learning applications such as click propensity and other control features.Defined and ran A/B tests.Defined KPIs to measure efficacy of ads system. -
Ml Product ManagerQuantiphi Feb 2020 - Dec 2020Marlborough, Massachusetts, Us -
Ml Product ManagerQuantiphi Sep 2018 - Feb 2020Marlborough, Massachusetts, UsProjects:- Document Processing: Form Parser - Specialized Knowledge Management System using Knowledge Graphs - ML Platform for 3D data volumes (Train, Inference, Model versioning)- Live video analytics solution for trains deployed on NVIDIA AGX- Engine Defect Detection deployed in an automotive manufacturing plant- Super Resolution GANs Cloud Platform:- Google Cloud Platform
-
Data ScientistQuantiphi Dec 2017 - Sep 2018Marlborough, Massachusetts, UsCloud Computing:- Google Cloud Platform (GCP)- Amazon Web Services (AWS)Industries:- Oil & Gas- Automotive- HealthcareDeep Learning:- Computer Vision:Image Enhancement (C-GANs, SR-GANs, PixelR ...), Optical Character Recognition (Cursive and block letters), Segmentation, Localization- Embeddings:Molecular (Mol2Vec), VAEs
-
Data ScientistHealthtensor Jun 2017 - Sep 2017Los Angeles, Ca, Us‣ Pre-processed notes data using NLP information retrieval techniques (TF-IDF ...) to assess notes quality across medical bodies (nurses, physicians...)‣ Implemented state-of-the-art Deep Neural Nets using Keras that outperform LACE index scoring model currently used by medical institutions.‣ Designed a test validation framework to select statistically relevant features for vectorization purposes‣ Unveiled hidden patterns using Stochastic neighbor embedding (t-SNE) for dimensionality reduction -
Co FounderAka Link Jan 2016 - May 2017- Consulting firm focused on engineering industry projects for students- Engineering projects worldwide (Tunisia, Brasil, US) -
Automotive EngineerKnickerbocker Motorsport - Columbia University In The City Of New York Sep 2015 - May 2017New York, Ny, Us- Computed a mathematical model to dynamically predict cooling performances using Navier stokes equations and fluid dynamics principles.- Sized and iterated designs heat exchangers for automobile racing purposes- Designed & manufactured (carbon fiber) customized ducting channels improving air flow dynamics- Integrated aerodynamic principles to iterate side pods packaging for racing purposesCAD modeling & CFM simulations -
Graduate Teaching AssistantKnickerbocker Motorsport - Columbia University In The City Of New York Jan 2016 - Dec 2016New York, Ny, Us-Supervised and monitored weekly sessions of the course: ENGIE 1102E: The Art of Engineering - Chemical Engineering. -Project-based course that inspires students to pursue their academic career in Chemical Engineering. Theme of the project: Alternatives to non-renewable source of energy.
-
Lab Testing Intern3D Matter Inc Jun 2016 - Aug 2016- Identified relevant properties to test for 3D Matter’s main tool: OptiMatter- Conducted experiments of 3D printed specimens with enhanced properties derived from exotic compositions (e.g Polycarbonate and other composite PLAs)- Processed the testing data to integrate new materials, products and parameters into OptiMatter.- Refined existing testing procedures (tensile test, impact test, quality test... etc.) to establish new standards in the 3D printing industry.- Designed new testing procedures tailored to 3D Printing to test additional properties such as durability and visual quality assessment.- Helped develop partnerships with universities to coordinate testing procedures across research centers.- Took part in market research and business development. Expansion to designers and academic institutions. -
Teaching AssistantEpfl (École Polytechnique Fédérale De Lausanne) Feb 2013 - Jun 2013Lausanne, Vaud, ChTeaching Assistant:Analytic Geometry (given by Pr Anne-Marie Dovi-Bleynat)Ensuring that each one of the 80 students understands and masters the concepts seen during the course. Basically, facilitate the learning of theoretical knowledge during practice hours hold weekly. Require to perfectly master the content of the course as well as the problem-solving procedures.
Aziz Ketari Skills
Aziz Ketari Education Details
-
Mit School Of EngineeringStatistics And Data Science -
Columbia Business SchoolCorporate Finance
-
Columbia UniversityM.S Chemical Engineering
-
Pontificia Universidad Católica De ChileChemical Engineering And Biotechnology
-
EpflChemical Engineering
-
Lycée Pierre Mendès France TunisBaccalauréat
Frequently Asked Questions about Aziz Ketari
What company does Aziz Ketari work for?
Aziz Ketari works for Housesigma
What is Aziz Ketari's role at the current company?
Aziz Ketari's current role is Lead Product Manager AI and ML.
What is Aziz Ketari's email address?
Aziz Ketari's email address is az****@****ana.com
What is Aziz Ketari's direct phone number?
Aziz Ketari's direct phone number is +192937*****
What schools did Aziz Ketari attend?
Aziz Ketari attended Mit School Of Engineering, Columbia Business School, Columbia University, Pontificia Universidad Católica De Chile, Epfl, Lycée Pierre Mendès France Tunis.
What skills is Aziz Ketari known for?
Aziz Ketari has skills like Leadership, Parler En Public, Project Management, Matlab, Latex, Model United Nations, Python, Microsoft Excel, Machine Learning, Data Analysis, Chemical Engineering, Protein Engineering.
Who are Aziz Ketari's colleagues?
Aziz Ketari's colleagues are Antonia Tsonis-James, Omid Rashid, Vik Tomar, Sanaz Eskandanian, Jason Thomas Lawrence, Chris Naudi, Raj Sandhu.
Free Chrome Extension
Find emails, phones & company data instantly
Aero Online
Your AI prospecting assistant
Select data to include:
0 records × $0.02 per record
Download 750 million emails and 100 million phone numbers
Access emails and phone numbers of over 750 million business users. Instantly download verified profiles using 20+ filters, including location, job title, company, function, and industry.
Start your free trial