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Sean L. is listed as Productizing Machine Learning & Artificial Intelligence for Business Values at Cooperate Marketing, based in Raleigh-Durham-Chapel Hill Area, United States. AeroLeads shows a work email signal at quadient.com and a matched LinkedIn profile for Sean L..
Sean L. previously worked as Chief Technology Officer at Cooperate Marketing and Vice President, Data Science and Analytics at Lokavant. Sean L. holds Mba, Business Administration from University Of Virginia Darden School Of Business.
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AeroLeads found 1 current-domain work email signal for Sean L.. Compare company email patterns before reaching out.
I am a translator, architect, and recruiting gate keeper for productizing AI and Machine Learning. I built models, and built teams that built models.A translator. I use simple analogies to make sense of AI/ML augmented, data driven products. I quickly earn respect from data scientists and gain trust from the business leaders. I serve as a translator between the two camps. My MBA and management consulting experience for C-level executives gave me the ability to tell stories for product ideation that makes business sense. My PhD work and pre-MBA industry experience was about machine learning approach to medical imaging. An architect. I have extensive knowledge in broad scope of data science, machine learning(ML), and data analytics. Been there done that, I am hands-on with machine learning from modelling to deployment. Usually I am the one who comes up with new ideas, sets the direction, and architects the ML-enabled product features. Often times I enjoy having a ML/NLP proof-of-concept (POC) deployed in the cloud to make the point.A gate keeper for recruiting. Since nowadays so many people want to be a data scientist or machine learning engineer, I spend a lot of time to select the best DS/ML talents. In the process, I've developed an effective set of heuristics to separate top talents from the rest of applicants.I have three mantras for my team: 1. We are in the business of DIIR: Data -> Information -> Insights -> Recommendation. 2. Analytics is more useful when we can sell it as a solution or product [to internal or external clients]. 3. Be agile and fail fast.I have over 20 years of combined experience working as a applied data scientist, management consultant, and a software engineer. Since 2010 I have been leading Analytics/DS/ML teams. With deep understanding in analytics, product, and strategy, I switch at ease from 30,000 feet strategic planning to ground level machine learning algorithms.I believe we don't sell data science, machine learning, or specifically natural language processing (NLP) but machine learning enabled solutions/products that solve clients' business needs.I strive to build and enable a high-performing team of data scientists and machine learning engineers. Just because an organization has hired 10 data scientists, doesn't mean that organization will automatically have the capability to deliver intelligent products enabled by DS/ML/AI. DS/ML talents need not to be “managed” per se. They need to be enabled, inspired, and served.
Listed skills include Analysis, Business Analytics, Business Intelligence, Sas, and 47 others.
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A career timeline built from the work history available for this profile.
Chicago, Illinois, Us
-- We offer channel marketing management solutions.-- Our clients are businesses that have a large network of local channels or franchisee partners.-- We build proprietary AI-enabled software platforms to deliver highly-customizable turn-key services that manage funding, claims, reconciliation, disbursement, analytics, creative and channel needs.
New York, Ny, Us
At Lokavant, we leverage AI to bring intelligence to clinical trial management for the sponsors and contract research organizations (CROs). As part of the executive leadership team, I drive the strategy, product roadmap, and development for our AI-enabled product features. Highlights:- Owned the strategy and OKRs for data science and analytics capability roadmap- Created and ownd a 3rd Party Data Strategy and defined a data-as-a-service (DaaS) roadmap- Collaborated closely with Sales & other client-facing teams to quickly roll out SaaS product prototypes so that they didn’t have to use only Figma mockups
Bagneux, France, Fr
As an internal startup innovation team within a global public company (Sales > $1.1 bn), we developed cloud-native, AI-enabled SaaS products with integrated intelligence offering digital customer experience, customer/patient journey mapping, and advanced analytics; Sales effort targeting two industry verticals: Financial Services and Healthcare.Built and led a three-part team of Business Intelligence & Analytics, Data Science, and Machine Learning. My primary responsibilities are: - Own product feature road map, data and data engineering that support the strategy. E.g. knowledge graph, recommender, news integration and classification as cloud-based serverless functions.- Translate client needs into predictive analytics to address their business pain points. - Recruit and develop data scientists, machine learning engineers, and business intelligence managers.
Led data science team and own the AI product to deliver machine-learning-powered people analytics products to find best-fit job candidates, and build new capabilities such as natural language processing (NLP) based Video Interviewing.SHL is a privately owned, PE backed spin off business from Gartner after acquiring CEB in 2017, offering people analytics (talent acquisition, selection, and management solutions) through SaaS platform. I drove three major efforts: deliver NLP-based predictive modeling product to clients, provide internal AI/automation tools, and develop new machine learning capabilities (e.g. video interview).
Gaithersburg, Md, Us
Owned strategy & delivery of analytical solutions, with a focus on machine learning and natural language processing . Part-time advisory role after May 2018. CAF Consulting Solutions is a start-up consulting firm specializes in engagements for health quality and policy research. We position ourselves as small-business, partnering with a primary contractor to win federal research funding, primarily from Centers of Medicare and Medicaid Services (CMS).
Washington Dc, Us
NCQA offers accreditation, certification and quality rating products to health insurance plans that cover 54% of U.S. population (171 million Americans). Led a team of data scientists and analysts to fulfill contract obligations, advise on methodologies in statistical modeling, machine learning and natural language processing, conduct market research and strategy development, and deliver analytical solutions for research and product development.
Herndon, Virginia, Us
National Student Clearinghouse has over 95% U.S. colleges and universities as members that report higher education credentials (e.g. enrollment, degrees, financial aid, transcripts) and offer verification of such credentials for commercial clients.Built and led business analytics team; discover new revenue streams through machine learning and natural language processing of client feedback, formulate strategies for new business development, predict market trends, distill insights for executive sponsorship, and connect R&D to sales. Partnered with marketing, sales and IT for product implementation and launch. Created a model to calculate economic value of the services delivered to clients.
Boston, Ma, Us
Worked with clients in project-based teams and led junior consultants to deliver strategic recommendations to C-suite executives on strategic planning, growth strategy, market assessment (sizing & trending), new opportunity validation, competitor analysis, go-to-market strategy, and due diligence for private equity funds.
Boston, Ma, Us
Worked with clients in project-based teams and led junior consultants to deliver strategic recommendations on strategic planning, growth strategy, go-to-market strategy, and due diligence for private equity funds.
Chicago, Us
Statistical analysis of medical images; Numerical simulation; Software product development. Led cross-functional team to develop new product features that was deployed globally to over $160MM worth medical devices. Innovated product development process.
Statistical analysis of medical images; Numerical simulation; Research.Led a $390K clinical study that delivered 31% reduction in radiation dose through innovative statistical image processing; Collaborated directly with physicians and nurses at the UIHC.
Quick answers generated from the profile data available on this page.
Sean L. works for Cooperate Marketing.
Sean L. is listed as Productizing Machine Learning & Artificial Intelligence for Business Values at Cooperate Marketing.
AeroLeads has found 1 work email signal at @quadient.com for Sean L. at Cooperate Marketing.
Sean L. is based in Raleigh-Durham-Chapel Hill Area, United States while working with Cooperate Marketing.
Sean L. has worked for Cooperate Marketing, Lokavant, Quadient, Shl, and Caf Consulting Solutions.
You can use AeroLeads to view verified contact signals for Sean L. at Cooperate Marketing, including work email, phone, and LinkedIn data when available.
Sean L. holds Mba, Business Administration from University Of Virginia Darden School Of Business.
Sean L. is listed with skills including Analysis, Business Analytics, Business Intelligence, Sas, Strategy, Financial Planning, Budgeting, and Market Research.
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