Synq

Co-Founder

Data Science with Expert Guidance

Built an online community for sharing AI knowledge in clear and engaging ways.
350 members included AI experts from Coinbase, Deloitte, Volkswagen, and other top AI labs.
Generated multiple top posts of the week in 250k member LearnMachineLearning community on Reddit.

Founder

On Deck

Fellow

Created conversational AI solutions for IBM.com
• Led creation of strategic AI solution from start to finish, aimed at increasing conversion on IBM.com. Designed and developed an industry leading conversational navigation solution to serve the unique needs of millions of yearly web visitors.

• Supported the delivery of chatbot solutions to clients that facilitated a pipeline of tens of millions of dollars in win revenue. Led or co-invented 10 patents in the chat and NLP space.

• Promoted technological leadership within the organization. Taught a series on AI research attended by over 400 IBM researchers and data scientists, which was later produced as promotional content.

• Established a collaboration with the IBM AI & Language Research Lab in Haifa. Formed personal relationships across the globe. Launched a project to reduce data labeling costs by leveraging our industry knowledge and their technological expertise.

Data Scientist

Columbia Impact

Launched Columbia’s annual university-wide entrepreneurship hackathon, which drew over 100 students from various departments
• Raised $60K from Citi, IBM, etc., partnered with NYC-EDC, Sidewalk Labs, etc., and pitched VC’s with a combined $200M invested
• Hosted CEO Kathryn Wylde of Partnership for NYC and former White House Senior Advisor John Paul Farmer from Microsoft

Co-Founder and Co-President

Furthered data analytics for 250 person Watson division
•   Revised major product launch schedule to reach 20% more customers than original proposal 
•   Automated reporting of all IBM SaaS multi-product sales for use across multiple IBM businesses

Data Scientist Intern

Qopius

Responsible for sales, product development, partnerships, and market research
• Formed relationships with and pitched potential investors
•Determined customer archetype and product-market fit for AI products through research, strategy, and customer   interviews

Data Science product management intern

Tunity

•	Vetted company data on 250,000 users for false information using probabilistic models
•	Created individual user profiles for 150,000 users in the database and vetted user information to determine customer benefit

We’re building AI products that change how we communicate. We’ve gone from concept to revenue multiple times and know that world-changing ideas take relentless work. If we’re tackling something hard, keep going—it’s the only way forward.

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