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Effective URL: https://app.riipen.com/experiences/WON0moLn
Submission: On June 21 via manual from IN — Scanned from DE
Effective URL: https://app.riipen.com/experiences/WON0moLn
Submission: On June 21 via manual from IN — Scanned from DE
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Log in Sign up 1. University of San Francisco 2. Experience DATA SCIENCE / AI /LLM PROJECTS MSDS 605 Open Closing on October 8, 2024 Get started Submit project as employer Join as learner Details Details Details University of San Francisco San Francisco, California, United States Victor Palacios Director, Data Science Partnerships 2 GENERAL * Post-graduate * 90 learners; teams of 3 * 500 hours per learner * Dates set by experience * Educators assign learners to projects PREFERRED COMPANIES * 10 projects wanted * United States * Academic experience * Large enterprise, Small to medium enterprise * Technology CATEGORIES Data Machine learning Artificial intelligence Data modelling Data science Cloud technologies SKILLS data science artificial intelligence machine learning cloud technologies data modeling postgresql PROJECT TIMELINE * October 14, 2024 Experience start * June 13, 2025 Experience end OVERVIEW Details Our ~90 students per year have or will develop the following skills: 1. Programming: Python, SQL, NoSQL, Airflow, Pytorch, NumPy, Pandas, Plotly, Scikit-Learn, Matplotlib, Seaborn, Spacy, Scipy, Selenium 2. Machine Learning: Regression, Classification, Unsupervised Learning, Deep Learning, NLP, Transformers, Large Language Models (LLM) 3. Big Data/Databases: PySpark, SparkSQL, ETL, Spark, MongoDB, Git, Databricks 4. Cloud/ MLOps: AWS (SageMaker, EC2, EMR, S3), Docker, Flask 5. Experimentation: Causal Inference, A/B Testing, Hypothesis Testing, Statistical Inference, Experimental Design Student capabilities (outcomes for companies) spanning 6 years can be found here: https://www.usfca.edu/arts-sciences/programs/graduate/data-science/practicum Learner skills Data science, Artificial intelligence, Machine learning, Cloud technologies, Data modeling, Postgresql Deliverables 1. Resume: 3 strong resume bullet points showcasing what the students accomplished with respect to time or revenue Examples from our previous cohort: 1. Developed a comprehensive, model-agnostic Python package for model validation, decreasing runtime and computation costs by 80% for __(company name)__ core ML and Data Engineering teams. 2. Developed an LLM pipeline leveraging an API that can generate comprehensive document analysis for over 1,000 pages of environmental policy, which has savings potential of up to $400,000 for __(company name)__ in consulting fees. 3. Implemented app's first machine learning model: personalized recommender system, increasing content engagement by 31%. 4. Built data pipeline for user logs in JSON to data lake (BigQuery) to increase query speed, saving 100+ engineering hours yearly. 5. Drove A/B testing on a new workflow and presented adverse results to executives, preventing reduction in WAU by 44%. PROJECT EXAMPLES 1. Projects: Project or project(s) must be Data Science, GenAI, LLMs, Data Engineering or Machine Learning Engineering only. If data science, we expect the data science life cycle to be covered including data cleaning, data visualization/statistics, data modeling (prediction), and, if possible, deployment -- We do not accept projects for data collection and/or data visualization only. 2. Timing: October to June (8-9 month) project(s) / 16~20 hours a week / Monday and Wednesday are dedicated working days for onsite/hybrid/remote work. 3. Company Mentorship: Technical person on the company side who spends at least 30 minutes each week doing a check-in with the student. Here are more details if interested. Want to schedule a call? Here is my email as well. Before we accept any proposals, we have an intake form to better understand your needs and to communicate your expected work to the students uniformly for all projects found on Riipen. Feel free to do the form before or after scheduling a call if needed. Thank you! ADDITIONAL COMPANY CRITERIA Companies must answer the following questions to submit a match request to this experience: What is the size of your data (roughly)? If varying, state range. Thank you. Where is the data located? Python is the sole programming language used in our program. Will your organization allow students to only use Python? Will you have a project(s) that span(s) 8-9 months? SIMILAR EXPERIENCES Check out these similar experiences. View all York University Toronto, Ontario, Canada Designing a Cyber Security Operations Center (CSOC) Security (cybersecurity and IT security) + 4 Starts July 2, 2024 Vancouver | New York Institute of Technology (NYIT) Vancouver, British Columbia, Canada Cyber Security Consultancy Security (cybersecurity and IT security) + 4 Starts September 3, 2024 University of Detroit Mercy Detroit, Michigan, United States Innovative Tech Solutions: Real-World Projects with UDM CS Students Databases + 4 Starts September 10, 2024 FOOTER Riipen brings industry and academia together, with real company projects. Facebook Instagram LinkedIn Twitter Youtube SUPPORT * Documentation * Academy RESOURCES * Feedback * Pricing * Status COMPANY * Blog * Careers * Contact Us LEGAL * Terms of Service * Privacy Policy * Security © 2024 Riipen Networks Inc. All rights reserved. Details