Navagant M&A is a middle market investment bank focused exclusively on middle-market M&A for the Education & Training industry. Tasks:- Develop and refine machine learning algorithms to forecast potential M&A clients within the Education & Training sector, leveraging historical transaction data and market trends.- Integrate valuation methodologies—such as Discounted Cash Flow (DCF), Leveraged Buyout (LBO), and Comparable Company Analysis (Comps)—to enhance the precision of the ML model and inform client targeting strategies.- Collaborate with finance and research teams to define key metrics, refine datasets, and align model outputs with real-world deal parameters and market conditions.- Perform data preprocessing and feature engineering to ensure data quality, reduce noise, and maximize the accuracy of model predictions.- Optimize machine learning models for performance using techniques such as hyperparameter tuning, cross-validation, and ensemble methods.- Analyze market conditions and industry trends to fine-tune models and forecast high-probability targets based on financial health and strategic fit.- Build dashboards and visualizations using tools such as Power BI or Tableau to communicate insights from the model to internal teams and decision-makers.

Established in 2024, The Dataism Lab at Virginia Tech is an interdisciplinary hub focused on advancing Quantitative Finance and Econometrics through cutting-edge technologies. Our mission centers on exploring AI/Machine Learning, Big Data Analytics, and High Performance Computing for transformative applications in this field.Tasks:- Manage and cultivate client relationships in corporate finance.- Develop and implement project timelines and scopes for corporate sponsors, utilizing project management tools.- Support research efforts in econometric analysis, predictive modeling, and computational finance, incorporating advanced data analytics and machine learning techniques.- Conduct comprehensive literature reviews and replication studies, focusing on cutting-edge financial technologies and quantitative finance methodologies.- Interface with corporate sponsors from private equity and M&A advisory firms, providing insights into fintech innovations and data-driven decision-making.- Participate in weekly strategy sessions with Dr. Habibnia (CMDA) to align on objectives.

Magnus is an artificial intelligence-based Robo advisory platform that offers portfolio optimization and automated wealth management. We provide API & SDK solutions for portfolio management companies, banks & financial institutions.Tasks- Participate in weekly meetings to review project objectives, discuss progress, and identify areas for improvement.- Provide regular updates on bugs and optimization efforts.- Coordinate with team members to ensure alignment with overall project goals and timelines.- Sourcing data from existing and new data providers, discuss objectives, etc.