Dividend Forecasting for New Horizons Financial Inc.

Work as a Financial Analyst to help the client build a better financial model using Machine Learning and GenAI. Add this hiring manager approved experience to your resume, see example!

Banking and Finance Sectors

Designed for aspiring Data Analysts, Analytics Engineers, and Data Scientists in the Banking and Finance Sectors

Live Collaboration

Engage in weekly online meetings to collaborate with peers and project leads

End-to-end Experience

From understanding the business problem to data collection, modelling, and presenting the solution.

Project Background

Our client, New Horizons Financial Inc. is looking to build a predictive model that determines whether a public company will reduce its Dividend Per Share (DPS) in the forthcoming year to help advisors decide if they should recommend this stock to their customers.

As a data consultant, you will follow the lead of a senior professional and learn to build the solution end-to-end.

  • Participant meet-up, project introduction, team creation, and networking

  • Comprehensive understanding of Dividends and relevant financial metrics and their impact on corporate health

  • FSA mini case study and predictors grouping

  • Introduction to object-oriented programming, data collection, evaluation, preprocessing, and storage through API and ETL pipelines

  • Exploratory data analysis, feature selection, and engineering. Introduction to machine learning and different classification models.

  • Discussion on model tuning, bias-variance trade-off, performance evaluation, and model selection

  • Large language models, ChatGPT API, prompt engineering, and their relevance in the finance industry

  • Presentation best practice

Project Schedule

Learn the following skills in 8 weeks through live collaboration with the project lead

  • Domain knowledge: Accounting Basics, Financial Statement Analysis (FSA),

  • Analytical Skills: Data Wrangling, Data Science, Machine Learning, GenAI

  • Engineer Skills: Data Pipeline, ETL, API, AWS

Meet the Project Lead

Collaborate with David to solve business challenges using cutting-edge technologies and domain knowledge in finance and accounting.

After successfully completing the Industry Project, you will receive reference check support from Brave and your project lead.

See example on how we will support your career advancement

David Liu (Linkedin)

Data Scientist at Interac Corp | CFA Level III Candidate | Master of Management Analytics

Dates and Pricing

Duration: 8 weeks

Launching Date: March 3rd, 2024

Free Trial: 14 days

Pricing: US $798

(Pay in two instalments, $399 per month after the free trial)

FAQ

  • The goal of the project module is to up-skill and enhance profiles. It’s the prerequisite for landing a good offer. The career module aims to prepare for interviews and landing offers, which can not happen without solid project experiences.

  • Yes, our career mentees enjoy a 20% off for most of the projects we offer.

  • Yes, you will get a discounted price on the project and could skip the assessment step.