Vp, Head Of Data & Analytics @ Yieldstreet
Current
Mar 2024 - Present
AeroLeads people directory · profile
Dan Costanza Email & Phone Number
VP, Head of Data & Analytics @ Yieldstreet
at
Yieldstreet
1 work email found
@yieldstreet.com
LinkedIn matched
4 data sources
Profile completeness 100%
Current company
Role
VP, Head of Data & Analytics @ Yieldstreet
Location
New York, New York, United States
Who is Dan Costanza? Overview
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Quick answer
Dan Costanza is listed as VP, Head of Data & Analytics @ Yieldstreet at Yieldstreet, based in New York, New York, United States. AeroLeads shows a work email signal at yieldstreet.com and a matched LinkedIn profile for Dan Costanza.
Dan Costanza previously worked as Sr. Director, Head of Data & Analytics @ Yieldstreet at Yieldstreet and Director, Head of Data & Analytics at Yieldstreet. Dan Costanza holds Bs, Mathematics And Statistics, Economics from Williams College.
Company email context
Email format at Yieldstreet
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{first_initial}{last}@yieldstreet.com
86% confidence
AeroLeads found 1 current-domain work email signal for Dan Costanza. Compare company email patterns before reaching out.
Profile bio
About Dan Costanza
Head of Data & Analytics at YieldstreetExperienced data science leader and builder of high performing, diverse teams.I bring the creativity to identify the right questions, and the technical, communication and management skills to turn them into practical solutions.
Listed skills include Data Analysis, Financial Modeling, Statistics, Research, and 18 others.
Current workplace
Dan Costanza's current company
Company context helps verify the profile and gives searchers a useful next step.
11 roles · 22 years
Dan Costanza work experience
A career timeline built from the work history available for this profile.
Sr. Director, Head Of Data & Analytics @ Yieldstreet
Jun 2023 - Mar 2024
Director, Head Of Data & Analytics
Jan 2023 - Jun 2023
Head Of Data & Analytics @ Yieldstreet
Jul 2022 - Jan 2023
Managing Director, Chief Data Scientist
- Founded a best-in-class data science practice to arm bankers with analytics to augment their advisory efforts
- Hired, trained & mentored a diverse team of 20 (40% female, 30% people of color), overseeing >$25mm budget while being primary developer on key analytics
- Built a full data ecosystem, from data architecture and API design, to a full suite of web-based tools
- Built relationships with key C-level executives at technology companies, driving significant direct investment banking revenue
Dec 2020 - Jul 2022
Director, Chief Data Scientist
Nov 2017 - Dec 2020
Vice President, Head Of M&A Data Science
Jan 2017 - Nov 2017
Associate Investment Banking
Aug 2014 - Dec 2016
Analyst Investment Banking
Jul 2011 - Jul 2014
Teaching Assistant
Feb 2008 - Jun 2011
Financial Intern, Software Engineer & Carpenter'S Assistant
2004 - 2010
~6 yrs
1 education record
Dan Costanza education
-
Williams College
FAQ
Frequently asked questions about Dan Costanza
Quick answers generated from the profile data available on this page.
What company does Dan Costanza work for?
Dan Costanza works for Yieldstreet.
What is Dan Costanza's role at Yieldstreet?
Dan Costanza is listed as VP, Head of Data & Analytics @ Yieldstreet at Yieldstreet.
What is Dan Costanza's email address?
AeroLeads has found 1 work email signal at @yieldstreet.com for Dan Costanza at Yieldstreet.
Where is Dan Costanza based?
Dan Costanza is based in New York, New York, United States while working with Yieldstreet.
What companies has Dan Costanza worked for?
Dan Costanza has worked for Yieldstreet, Citi, Goldman Sachs, Williams College, and Sunpower Builders/Sunpower Solar.
How can I contact Dan Costanza?
You can use AeroLeads to view verified contact signals for Dan Costanza at Yieldstreet, including work email, phone, and LinkedIn data when available.
What schools did Dan Costanza attend?
Dan Costanza holds Bs, Mathematics And Statistics, Economics from Williams College.
What skills is Dan Costanza known for?
Dan Costanza is listed with skills including Data Analysis, Financial Modeling, Statistics, Research, Economics, Microsoft Excel, Statistical Modeling, and Bloomberg.
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