Eric Dolan Email & Phone Number

Miami, Fl, Us

🏴☠️🤖

Rome, It

backing people and builders i know at the early stage- vendorpm- entendre- astral - stxt (duh)- dropstation- https://www.linkedin.com/redir/suspicious-page?url=boardy%2eai- professional institution limited

Washington, Dc, Us

We are enterprise software experts. We look to co-invest with strong leads, bringing our network of coinvestors and next round investors as well as enterprise software expertise to add value. We see ourselves as partners who can fill out a round quickly and be a positive influence, and non-competitive as we don't lead or take significant stakes in our portfolio companies. We generally write a small check into rounds of $750k-$3M that are mostly full, being low pain-in-the-ass to entrepreneurs compared to relatively high value add. Having been entrepreneurs, we know that's the most important part.Investments include Blockthrough technologies.While we'll invest anywhere in the US, we love "second tier markets" that can still support major exits but attract relatively less venture funding: Chicago, Toronto, DC, Baltimore, Atlanta, etc etc!https://www.crunchbase.com/organization/saas-ventures-2#/entity

Toronto, Ontario, Ca

-First cheque in the company via Acceleprise-Mentored and completed the Acceleprise Accelerator program-Helped raise first Seed Round, ~$1M, and doubled down on investment

Toronto, Ontario, Ca

-Advisor to the CEO of management, strategy, and fundraising-Helped recruit and manage team members and advisors-Conducted regular meetings with engineering, product, and growth teams around company goals, product roadmaps, and key kpis

Toronto, Ontario, Ca

-Established regular product management and operational cadence-Introduced lean methodologies and kanban to ensure timely and quality of deliverables-Created frameworks for product and analytics, reflected in business intelligence and event tracking tooling

Los Angeles, Ca, Us

-lead menu and inventory management product- virtual brands and wholesaling business- ingredients, cataloging systems, and generative ai

New York, Ny, Us

Forum Ventures (formerly Acceleprise) is a B2B SaaS focused accelerator and fund that invests in early stage SaaS companies and provides a 4 month, hands on program focused on sales and go to market; including introductions to customers, investors and mentors to help accelerate their business and get to their next round of funding.

Palo Alto, California, Us

Head of Product, and leading business development and partnerships, for one of the main lines of business, Serenity: Guided Mental Health. A product I founded and sold to Doc.ai in 2019. Conversational AI and guided mental health that makes getting care easy, personalized, and stigma-free. Anywhere, at any time, from any mobile device.-Manage a team of 20-25, up from 10 at the beginning of 2020. With COVID, all are remote.-Worked to integrate with insurance partners, like Anthem. Named as a recommended tool in response to COVID, and mentioned during their Q2 earnings call.-Leading product and business development. Planning roadmap, working with existing and attracting new partners to meet KPIs and grow the business.

Palo Alto, California, Us

Lead the product development and managed the team of engineers and designers working on Serenity. -Managed the roadmap and KPIs-Continued the transition from Neutun Labs to Doc.ai, adapting the service for mobile and enterprise clients-Started with a team of 4 and expanded to a team of 10

Palo Alto, California, Us

After the acquisition by Doc.ai, I worked as a consultant for the firm as we transitioned the assets, IP, and other legal matters. I decided to take a break during this time to regroup and ready for the next stage of Serenity at Doc.ai.

San Francisco, Us

Acquired by Doc.ai in 2019-Raised ~$1.5M in the venture and government funds (investors include: Independence Blue Cross, 500 Startups, The University of Pennslyvania, BDC capital, etc)-Co-Authored paper with NIH and Harvard setting Data Elements Standards in mHealth systems-Scaled to 700k users globally, 50M therapy messages exchanges in under 14 months.

San Francisco, California, Us

-Received investment in 2016 joining their 16th batch-Raised $1M seed round after demo day-Named one of the top 10 companies by TechCrunch

Toronto, Ontario, Ca

Machine Learning Entrepreneurial Program

New York, Ny, Us

-Received investment from DreamIt Ventures, Upenn, and IBX-Named one of the top 3 companies

Toronto, Ontario, Ca

eric.dolan@utoronto.ca3030 Big Data Tools and Techniques Mining Financial, Operational and Social Network DataThis course builds on 2942 and 2943 by going deeper into the tools and techniques of Big Data and Analytics, including:• Hadoop and its eco-system• Statistical machine learning techniques• ETL and pulling data from social networks• Neural nets• MapReduce• NoSQL and similar database management systems, and• Effective visualization and communication of results.The course also provides hands-on experience with data, text and social network mining using machine learning tools available for the popular Python programming language. Students will learn the basics of programming in Python and use / modify off-the-shelf Python programs to complete analytic tasks, including:• Mining tweets and social web data• Mapping social graphs• Searching for patterns in financial data using neural nets• Mining large bodies of text using Hadoop• Storing and retrieving data in NoSQL databases• Performing statistical hypothesis testing, and• Visualizing data sets using tools such as D3.Concepts and hands-on skills learned will be generalizable and useful when using other data mining tools and languages such as SAS and R. Students will require a laptop with them at class.Learner OutcomesGain additional understanding of Machine Learning and its applications in business analyticsDevelop deeper understanding of next generation Big Data platformsLearn how to extract data from social media sites such as Twitter and use it to derive insightsBuild hands-on skills with Python and several popular analytics program librariesLearn how to perform analytics using Big Data and NoSQL database management systems

New York, New York, Us

Techvibes is Canada's leading technology media property. Techvibes is dedicated to covering social, mobile, and startup news that impacts Canadians. Our editors and nationwide network of reporters combine breaking hyperlocal news with international coverage to deliver a unique balance of insight and information. The Techvibes community boasts tens of thousands of followers across our social media channels and our news site experiences hundreds of thousands of unique visitors per month.

Mountain View, California, Us

Selected as a tester for the Georgia Tech Online Masters in Computer Science. With emphasis on Computer Vision, I complete, review and provide feedback on graduate level courses. Courses such as: Cameras and Images, Perspective Imaging, Stereo Geometry, Epipolar Geometry and Stereo Correspondence.

Toronto, Ontario, Ca

MMB Networks delivers a hardware and software platform that dramatically reduces the cost, risk, and time-to-market for OEMs adding wireless communications to their products. MMB Networks' RapidConnect is a drop-in hardware and software platform that fully automates ZigBee Smart Energy and ZigBee Home Automation — adapting to multiple connected home platforms and enabling new ones.

Cofounded and launched yet another mobile, social, network for a college campus. I know....very cliche.

I write ze code

Slightly Social develops, publishes and distributes its gaming titles for BlackBerry, Android, Smartphone, iPhone, iPad, iPod and as a gaming innovator in 2013, is looking to develop games for other new digital platforms such as Tablets, Smart TVs and HTML5 browsers.Duties:-Product development, analytics, testing -Investor prep: Financial Reporting,Budget planning and forecastingAccomplishments:-Extended the runway of the business by over 3 months-Controlled and reduced the burn rate by 40%-Top rated, ranked and grossing game/app on: IOS, Android, BlackBerry and Windows Phone

Data Science

Bachelor'S Degree, Business, Computer Science & Economics

Business And Entrepreneurship