Adam Epstein
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Adam Epstein Email & Phone Number

Data Scientist at City Real Estate
Location: San Francisco, California, United States 12 work roles 2 schools
1 work email found @usfca.edu 1 phone found area 122 LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 86%

Contact Signals · 1 work email · 1 phone

Work email a****@usfca.edu
Direct phone (122) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Data Scientist
Location
San Francisco, California, United States

Who is Adam Epstein? Overview

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Quick answer

Adam Epstein is listed as Data Scientist at City Real Estate, based in San Francisco, California, United States. AeroLeads shows a work email signal at usfca.edu, phone signal with area code 122, and a matched LinkedIn profile for Adam Epstein.

Adam Epstein previously worked as Senior Data Analyst at City Real Estate and Software Engineer at Supernal. Adam Epstein holds Master Of Science - Ms, Data Science from University Of The Pacific.

Company email context

Email format at City Real Estate

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{first_initial}{last}@usfca.edu
86% confidence

AeroLeads found 1 current-domain work email signal for Adam Epstein. Compare company email patterns before reaching out.

Profile bio

About Adam Epstein

I am a dedicated Data Scientist and Machine Learning Engineer. As an analytical expert skilled in extracting valuable insights from complex data sets, I utilize a blend of statistical analysis, machine learning, and data visualization techniques to interpret and communicate data-driven findings. I am proficient in programming languages like Python and R, as well as tools like SQL, Hadoop, and TensorFlow. I turn raw data into actionable business strategies. My role is pivotal in driving informed decision-making, optimizing processes, and solving challenging problems across various industries.

Current workplace

Adam Epstein's current company

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City Real Estate
City Real Estate
Data Scientist
AeroLeads page
12 roles

Adam Epstein work experience

A career timeline built from the work history available for this profile.

Senior Data Analyst

Current

San Francisco, California, Us

-Collect raw real estate transactional data and transform to user friendly graphs for 55 sales agents and clients.-Design and illustrate quarterly listing and sales transaction metrics in a visually engaging and compelling newsletter with graphs and analysis distributed to all company clients, creating strong customer engagement.

Jan 2024 - Present

Software Engineer

Washington, D.C., Us

-Automated the retrieval of weather data through API calls, producing visual reports that enhanced clarity of seasonal weather trends, directly contributing to enhance operational forecasts and flight optimization strategies company wide.-Engineered a machine learning solution that enhanced predictive capabilities for flight safety teams, reducing manual analysis and allowing teams to focus on safety measures and operational efficiencies.

Jul 2023 - Sep 2023

Data Scientist

Jll

Chicago, Illinois, Us

-Established a robust framework for text data validation that converted data from unstructured formats into organized arrays, enhancing the ease of access to critical information for the engineering team.-Developed advanced machine learning algorithms for binary classification that increased predictive accuracy and led to a growth in revenue through streamlined customer targeting and engagement strategies.-Executed the integration of files into a personal Git repository using advanced command-line techniques, optimizing version control practices and enabling seamless collaboration with all project contributors on future developments.

Jun 2022 - Aug 2022

Data Scientist

San Francisco, Ca, Us

-Coordinated directly with company founders to enhance statistical technology stack in B2B SaaS applications.-Upgraded key application code from Pandas 0.25 to Pandas 1.04 to keep the database up to date for all clients.-Constructed advanced analytical notebook files in Spyder to evaluate user behavior trends which I utilized to enhance customer engagement and contributed to a revenue increase.

Jun 2020 - Dec 2020

Lead Quantitative Analyst (Usf Baseball Team)

San Francisco, Ca, Us

-Consulted with the coaching staff and players to create statistical models that utilized quantitative methods such as advanced Python to produce best bullpen matchups, park factors, and R to make density plots for recruiting. -Produced independent research reports that were utilized by the coaching staff and players which resulted in a year over year improvement of player statistics.

Oct 2018 - Jul 2020

Annual Giving Data Analyst

San Francisco, Ca, Us

-Upgraded SQL script that pulled and cleaned email addresses.-Created a linear regression model for predictive analytics for a certain donor group (donors from fiscal year 2013 - fiscal year 2018).

Jun 2019 - Jul 2019

Data Science Analyst

San Francisco, Ca, Us

-Collaborated with one of the top real estate agents in the Bay Area to create a database of every real estate buyer in SF.-Generated detailed reports analyzing the job titles and industries of 10000 home purchasers using R that provided essential insights that improved the alignment of marketing strategies with customer demographics.-Examined and identified the top employers and industries where employees purchase the most number of homes in every zip code and neighborhood from 2000 rows of data.-Authored an article published in The Atlantic Magazine highlighting groundbreaking industry insights which drove organic traffic to the website by 70% and established brand authority among key stakeholders in the market.

Jun 2019 - Aug 2019

Data Scientist

San Jose, Ca, Us

-Utilized Redux DevTools to track customer usage and preference metrics of the Cisco Umbrella dashboard product based on security filter options and categories.-Developed an automation process in Python to create live customer data contained in SQL tables in order to provide improved business intelligence to the marketing department.

Jun 2018 - Aug 2018

Statistical Assistant (Usf Men’S Basketball Team)

San Francisco, Ca, Us

-Attended two practices weekly and collected statistical data of player performance during scrimmages.-Used a program called Stat Crew to input and analyze the data.

Sep 2017 - May 2018

Assistant To The Director Of Operations (Usf Baseball Team)

San Francisco, Ca, Us

-Made road trip reservations for the team. -Compiled video footage for coaching review. -Created an analytic spreadsheet of the individual performances of the team that I presented to the coaching staff so they could identity strengths and weaknesses to help them focus on areas to improve.

May 2016 - Jun 2016
2 education records

Adam Epstein education

Master Of Science - Ms, Data Science

University Of The Pacific

Bachelor Of Science - Bs, Data Science

University Of San Francisco
FAQ

Frequently asked questions about Adam Epstein

Quick answers generated from the profile data available on this page.

What company does Adam Epstein work for?

Adam Epstein works for City Real Estate.

What is Adam Epstein's role at City Real Estate?

Adam Epstein is listed as Data Scientist at City Real Estate.

What is Adam Epstein's email address?

AeroLeads has found 1 work email signal at @usfca.edu for Adam Epstein at City Real Estate.

What is Adam Epstein's phone number?

AeroLeads has found 1 phone signal(s) with area code 122 for Adam Epstein at City Real Estate.

Where is Adam Epstein based?

Adam Epstein is based in San Francisco, California, United States while working with City Real Estate.

What companies has Adam Epstein worked for?

Adam Epstein has worked for City Real Estate, Supernal, Jll, Purview, and University Of San Francisco.

How can I contact Adam Epstein?

You can use AeroLeads to view verified contact signals for Adam Epstein at City Real Estate, including work email, phone, and LinkedIn data when available.

What schools did Adam Epstein attend?

Adam Epstein holds Master Of Science - Ms, Data Science from University Of The Pacific.

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