Synthetic data project framework
Our company is interested in creating frameworks / templates for our pilot projects with social impact clients. Impact of this work is to maintain efficient operational execution in how we structure our client work. We would like to collaborate with students to provide cohesive, appropriate details relative to the pilot project scaffolding from our Data Scientists. Students will write technical statistical documentation on methodologies and write code (likely in Python, using Jupyter and/or Marimo notebook) so we can achieve a fulsome pre-pilot understanding of the workflow involved. This will involve several different steps for the students, including: Working with Data Scientist guidance to write code that assesses initial data type, structure, etc, especially on determining appropriate analytical tooling for client data use case categories Expanding on baseline Data Scientist framework document for synthetic data 'utility' metrics, i.e. how useful to a given statistical model the synthetic data is Completing all above in analytical objectives including but not limited to dimension reduction, relationship analysis, and clustering
AI-Powered Financial Analysis System
The project aims to develop an AI-powered financial analysis and trading assistant designed to evaluate market momentum and provide short- to mid-term forecasts and strategies. The assistant will analyze real-time stock market data, financial news, and economic indicators to identify trends, investment opportunities, and potential risks. By leveraging AI-driven scoring and sentiment analysis, the system will offer buy/sell signals, market sentiment insights, and strategic recommendations to guide decision-making. The solution will be hosted on a secure cloud platform to ensure accessibility and scalability. This project provides learners with an opportunity to apply their knowledge of AI, data analysis, and financial markets to create a tool that simplifies market analysis and enhances investment strategies.
ZenithBlox Financial Operations Blueprint
ZenithBlox is a no-code/low-code Web3 integration and compliance platform that simplifies blockchain adoption for enterprises and financial institutions. We offer seamless integration with any blockchain network, eliminating compatibility concerns. Our automated compliance tools streamline regulatory adherence, reducing risk and development time. With enhanced security features, you can protect sensitive data and build trust in your blockchain solutions. Project Description: ZenithBlox is looking to refine its financial infrastructure to enable effective decision-making, support scalability and be Investor-ready. This project will involve developing a “ Financial Operations (FinOps) Blueprint ” that includes basic dashboards, metrics, SOPs and Scenario Planning tools that supports operational readiness and investor conversations. Project Goals: Create lightweight but scalable financial tools and documentation that ZenithBlox can use to track cash flow, monitor key metrics, and enforce basic process discipline. Deliver a dynamic model that calculates monthly burn, cash runway, and provides toggles for different funding scenarios. Identify and visualize essential financial KPIs. Create concise, plug-and-play SOP templates to guide essential finance processes. Deliverables Must-Haves Burn Rate & Runway Tracker Financial KPI Dashboard Core SOPs ( Examples - Vendor Procurement & Invoice Handling, Expense Approval & Reimbursement) Nice-To-Haves Unit Economics Summary Dashboard (CAC, LTV, Payback Period Estimate, Break Even Volume, Scenario toggles to show LTV:CAC changes with different strategies – discount, match, premium) Categories Finance & Accounting Business Strategy Operations & Process Improvement Startup & Entrepreneurship Fintech Data Analysis / Dashboarding Blockchain