Jeffrey Katz
Founder at Remarkable AI
Philadelphia, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolJeffrey Katz is a founder and social media strategist with 11 years of experience helping eCommerce brands turn social engagement into measurable revenue through ads, influencer programs, social listening, CRM integrations, and custom platform workflows. He founded Quarter Muffin and Social Katz to combine paid Facebook/Instagram/TikTok campaigns with human-moderated targeting and analytics-driven operations, and currently supports brands while also working as an account executive at Remarkable AI. His background includes enterprise deployments and platform selection for Verizon and Sprinklr and earlier product/analytics work at Google+, giving him both startup grit and large‑scale program experience. Jeffrey pairs hands-on data skills—demonstrated by contributions to data‑science labs and visualization work on GitHub—with practical productization of social tools, making him fluent at turning analytics into operational systems. Based in Philadelphia, he holds an Industrial Design degree from Virginia Tech and an International MBA focus on Asian business, a combination that informs his product-minded, globally aware approach to social commerce.
11 years of coding experience
Bachelor of Science Industrial Design, Bachelor of Science Industrial Design at Virginia TechInternational MBA Chinese/Asian Business, International MBA Chinese/Asian Business at Bar-Ilan University
English, Hebrew, Spanish
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (36)
data-visualizations10
mvc-architecture10
javascript10
strings10
gradient-descent10
lists10
python10
datatypes10
data-science10
nearest-neighbors10
testing10
text-manipulation10
css10
pandas10
rspec10
Programming languages (8)
Github contributions (5)
learn-co-students/python-variables-readme-data-science-intro-000
Mar 2018 - Mar 2018
Role in this project:
Data Scientist
Data ScientistContributions:13 commits in 19 days
Contributions summary:Jeffrey primarily contributed to a Python-based data science project, demonstrated by modifying and updating an `index.ipynb` notebook. These changes involve the use of variables, strings, and basic string operations within a Jupyter Notebook environment. The user's contributions focused on introducing and explaining Python variables, demonstrating their use in referencing data, and reassigning variables to modify their values. The commit history showcases iterative revisions and the addition of concepts related to data manipulation within a data science context.
learn-co-students/for-loops-readme-data-science-intro-000
Mar 2018 - Mar 2018
Role in this project:Data Scientist
Data ScientistContributions:5 commits, 2 branches in 15 days
Contributions summary:Jeffrey's contributions center around visualizing data using the Plotly library within a Jupyter Notebook environment. They added learning objectives, created a scatter plot of a single point, and then moved on to visualizing customer data with a bar chart. The user installed and imported the Plotly library, initialized it for offline use, and then generated different plots with customized x and y values. They demonstrated skills in data plotting and the use of a data visualization library to create effective charts.
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