Jake Rozran Resume

Summary

Data science and generative AI leader who ships production data/ML systems and builds teams. Consultant (RLE Analytics) for a national business media publisher; founder building a COPPA-compliant AI product for kids (MyDD.ai); adjunct professor at Villanova. Focus areas: safe-by-design AI, network reliability & fraud/risk analytics, and content/revenue intelligence. Seeking roles where measurable impact matters (head/director of data/AI, principal IC, or consulting).

Top Skills & Technologies

Languages: R, Python, SQL, Bash, HTML/Markdown

Platforms: AWS (Athena, Glue, Redshift), Google BigQuery, Hadoop (Hive/Impala)

Databases: PostgreSQL, MySQL, SQLite, Oracle

Tools: RStudio, Jupyter Notebooks, GitHub, Tableau, Grafana, PySpark

Expertise: Data Analysis, Machine Learning, Generative AI, Project Management, Consulting

Current Experience

Owner; Data Engineering & Analytics

RLE Analytics

Philadelphia, PA | Nov 2024–Present

Lead a team of data professionals providing data engineering, analytics, and business intelligence services to a major metropolitan business media organization.
Architect and implement data pipelines and analytical frameworks to support strategic decision-making in an evolving digital publishing landscape.
Advise client leadership on digital transformation strategies, particularly navigating the disruption of traditional publishing models in the age of generative AI.
Design and deliver business intelligence solutions that provide actionable insights on audience engagement, content performance, and revenue optimization.
Collaborate cross-functionally to translate complex data findings into strategic business recommendations.
Develop predictive models and analytical tools to identify emerging trends and opportunities in the rapidly changing media landscape.

Founder & Developer

MyDD.ai

Philadelphia, PA | July 2025–Present

Founded and building a generative AI platform providing safe, age-appropriate AI interactions for children.
Architect and develop full-stack solution including marketing site, RESTful chatbot endpoints, React-based chat interface, and secure parental onboarding system.
Implement comprehensive data privacy and protection measures aligned with COPPA requirements, including parental consent workflows, data minimization practices, and secure data handling.
Design child-safe AI interactions with content filtering, age-appropriate responses, and monitoring systems to ensure platform safety.
Manage all aspects of product development, from technical architecture and implementation to go-to-market strategy.

Adjunct Professor of Data Science & Statistics

Villanova University

Villanova, PA | Aug 2020–Present

Design and deliver undergraduate courses in Data Science, Intro to Statistics, and Statistics for Biology, including syllabus development, lectures, assignments, and assessments.
Provide training to the department on the capabilities of GenerativeAI, allowing faculty to design their courses effectively to maintain desired educational outcomes.
Elected to Faculty Congress, filling the At-Large Adjunct seat.
Advise and mentor students by writing recommendations for various programs, helping guide studies for real-world success after graduation, and providing assistance through the stresses of university life.

Previous Experience

Founder & Developer

ChatCivic.ai

Philadelphia, PA | Jan 2025–July 2025

Founded, built, and exited a generative AI platform that provided accurate and timely answers for local municipalities to its residents.
Managed all aspects of product development, from technical architecture and implementation to go-to-market strategy.

Senior Manager of Data Science

Comcast

Philadelphia, PA | Jan 2023–Nov 2024

Manage a data science team of four that is responsible for the creation, analysis, and maintenance of multiple customer facing machine learning models that improve and monitor the reliability of Comcast's Network.
As a player/coach, I spend part of my day coding and doing analysis and part of my day providing team leadership.
Work closely with organization leadership, product managers, and outside organizations to identify and communicate priorities, statuses, and issues.
Implement and continually revise best practices for data science and analytics workflows—improving peer and code review practices, time spent in meetings, and work prioritization.
Meet regularly with the individual team members to receive feedback, provide coaching, and understand member's goals.
Member of the organization's DE&I team
Tools used: R/RStudio, Python/PySpark/Jupyter Notebooks, AWS: Athena/Glue/Redshift, Tableau

Data Science Practice Lead

CivicActions

Lafayette, CA | Feb 2021–Jan 2023

Built a Data Science Practice Area with > $1MM revenue after 12 months; personally focused on data science, people management and coaching, sales, marketing, and project management.
For the Centers for Medicare & Medicaid Services (CMS), leveraged Natural Language Processing (NLP) in the creation and evaluation of System Security Plans (SSPs) to optimize the Authority to Operate (ATO) process; analyzed AWS usage to forecast annual usage and identify inefficiencies; used graph analysis and NLP to identify related documents to provide enhanced search capabilities.
As the first data science teammate on each project I supported (and at the company), I had to focus on explaining the capabilities of our team and iteratively working with clients to understand their needs and providing relevant analysis.
Internally, I worked hand in hand with our marketing, program management, and sales teams to identify new opportunities for our data science practice area; externally, on each project, I worked closely with our clients, product owners, engineering teams, and design teams.
One of five members of the company's Diversity, Equity, Inclusion, and Accessibility (DEI) team; responsible for helping improve the company's DEI practices, including analyzing demographic data, designing surveys to understand company feeling about DEI, and identifying and improving company policy to be more inclusive.
Accessed data from AWS Athena (at CMS) and ClickHouse (internal data). Utilized Python for NLP projects and R to build Shiny Dashboards and complete bespoke analysis (mainly in RMarkdown documents).

Solutions Consultant

Socure

New York, NY | Jan 2020–Feb 2021

Technical expert on fraud prevention, Know Your Customer (KYC)/Customer Identification Program (CIP), Socure product modules, data science, statistics, and data visualization in support of the sales and onboarding processes.
Created custom proof-of-concept (POC) analyses for prospective customers—showing the value of Socure versus their current solution(s).
Served as the Growth Team's subject matter expert (SME) on data science, creating educational documents and presentations on challenging topics like Area Under the Curve (AUC), false positives, and other model evaluation criteria.
Worked with the Marketing Team to create content for the Socure Blog on machine learning techniques.
Member of the DEI team.

Manager of Data Analytics

Xfinity Mobile Risk Management (Comcast)

Philadelphia, PA | Mar 2017–Jan 2020

Led and managed the data analytics and engineering team for Xfinity Mobile Credit Risk Management, including hiring and training of staff analysts and engineers, collaborating with and providing analysis for stakeholders, and tracking and prioritizing all team tasking.
Invented, designed, and put into production a fraud decision making tool that was responsible for a decrease in month-over-month fraud losses by 92% in 2018—this tool was implemented while our team dealt with procurement and staffing issues.
Built and maintained the executive reporting packages for both fraud and credit risk management.
Provided coaching, leadership, and mentorship to all analysts on the Xfinity Mobile Risk Management team.
Worked closely with product, engineering, and operations teams to handle all aspects of risk management decision making (fraud and credit).
Leveraged, maintained, and created tables in both Impala (Hadoop) and Oracle. Built a fraud decision making tool that combines custom feature creation, statistical and business rules, and predictive models built in Python, R, and Bash.

Additional work experience is outlined on my LinkedIn Profile.

Volunteer

Resident Data Science Expert

Govern for America

Katonah, NY | Apr 2022–Jan 2023

Organizer

Data Jawn Conference

Philadelphia, PA | Apr 2019–Aug 2019

Education

Masters of Science—Applied Statistics

Villanova University

Villanova, PA | 2015–2017

Bachelors of Science—Business & Engineering

Drexel University

Philadelphia, PA | 2004–2009