Jack Stehn Email & Phone Number

San Francisco, Ca, Us

San Francisco, Ca, Us

Richmond, California, United States

• Analyzed staff and teacher data to predict turnover using machine learning algorithms.• Implemented strategies to increase retention rates and improve student outcomes.• Developed data pipelines to evaluate employee effectiveness and drive actionable changes.

San Francisco, California, United States

• Oversaw all aspects of a vibrant, large-scale LGBTQ+ community event, managing logistics, entertainment, and fundraising initiatives. Secured sponsorships through effective communication and negotiation, raising over ~$90,000 to support local non-profits.• Demonstrated strong project management skills, coordinating diverse stakeholders, vendors, and artists to deliver an impactful event.• Enhanced the attendee experience through creative stage direction and production, ensuring a memorable and inclusive celebration.

San Francisco, California, United States

• Collaborated with multiple teams to create and analyze seasonal surveys for the San Francisco Gay Men's Chorus, providing data-driven insights for policy-making and organizational growth.• Developed data visualizations and presentations to communicate findings to stakeholders, enabling informed decision-making.• Utilized both qualitative and quantitative analysis to assess the organization's progress towards its mission and identify areas for improvement.

• Developed product that resulted in 33% faster ramp times, 16% higher revenue, and 15x ROI on sales programs.• Crafted NLP-powered predictive models, including custom-tuned sentiment analysis, to forecast sales lead conversion probability and expected value, empowering data-driven sales strategies.• Optimized model performance through iterative testing, feature engineering, and hyperparameter tuning.• Revamped data pipeline for near real-time analytics, slashing processing times by 75% and scaling data volume by 400%, enabling rapid, data-informed sales decision-making. Redesign ultimately allowed for seamless integration into large language models (LLMs).• Architected scalable data infrastructure on AWS (S3, EC2, etc.) to support growing data needs and real-time model execution.• Championed data science best practices by developing well-documented, modular, and reusable Python and SQL code.• Collaborated effectively with engineering teams to integrate predictive models seamlessly into the sales automation platform

• Led the design and implementation of an educational chatbot on fire ecology for CalSAFE, increasing user engagement with fire safety content.• Collaborated with stakeholders at CalSAFE to define project goals, gather requirements, and ensure alignment with their educational mission.• Designed the chatbot's conversational logic and utilized NLP techniques (SpaCy) for natural language understanding.• Leveraged Python, pandas, BeautifulSoup, and scikit-learn to acquire, clean, process, and analyze social media data, identifying key themes and trends in fire ecology discussions.• Managed project scope, timelines, and effective communication with stakeholders, ensuring on-time delivery of the chatbot.

Berkeley, California, United States

Work with students that are transferring into UC Berkeley's data science program. Mentored students through the transition to Berkeley. Assisted them in developing their data science skills. Fostered a community so that students could network and build bonds between each other during the pandemic.

• Led data science team in a comprehensive mixed-methods study of violence against homeless youth, combining geospatial analysis (ArcGIS), causal inference techniques, and qualitative analysis to drive evidence-based interventions.• Integrated insights from 45 in-depth walking interviews, conducting qualitative analysis to uncover lived experiences and contributing factors to violence.• Identified and visualized spatial patterns of violence using ArcGIS, informing targeted interventions by local government and non-profits.• Developed interactive dashboards (Tableau, Plotly) to communicate complex research findings, empowering policymakers, researchers, and service providers to design effective violence prevention strategies.• Partnered with experts in psychology and sociology to develop robust research methodologies, ensuring both rigor and relevance to the field.

Pittsburg, California, United States

• Independently designed and developed a comprehensive web application to guide college students' program selection, utilizing a Python, JavaScript, PHP, PostgreSQL stack for robust functionality.• Built a 500+ university program database by leveraging web scraping (Beautiful Soup) and Python data cleaning, enabling streamlined searches and informed decision-making.• Consulted directly with stakeholders (California Community College District, career counselors) to understand user needs, tailoring the application for maximum impact in student guidance.• Created an intuitive management dashboard, empowering non-technical staff to seamlessly maintain and update program data, ensuring the application's long-term sustainability.

San Francisco Bay Area

Learned and contributed to transfer and career programs, services, and activities. Performed analysis on data related to students transferring using tools such as SQL, R, and Excel to assist in providing department with useful information in developing our programs. Acted as the first point of contact of Transfer & Career Services to the LMC community at the front desk and online. Performed as a leader within marketing committee; Charged with managing social media (Instagram, Facebook, etc), website management, newsletter, and outreach events. Presented information on transfer and career to students through in-class public speaking. Trained new employees on the policies and procedures in the department. Planned, organized, and executed events on campus that required coordination between multiple departments, universities, and external corporations.

Interacted with and assisted customers. Diagnosing technical issues. Repairing computers. Documenting new issues. Running information database. Managing multiple customer support sessions. Calling customers. Transferring and managing sessions.

Bachelor'S Degree, Data Science, 4.0

Associate Of Science - As, Mathematics, 4.0

Computer Science

Valedictorian

Activities and Societies: Varsity quiz team, Swim team, Robotics team, Natural helpers, String orchestra, Cybercorps