Dyne ETL and ML Data Augmentation/Processing Project

The main goal of this project is to create large-scale ETL data pipelines and ML data augmentation/processing architectures to drive Dyne dataset size, throughput, cost-efficiency, and scalability. This will involve several different steps for the students, including: - Analyzing existing data sets and architectures. - Developing ETL data pipelines and ML data augmentation/processing architectures. - Optimizing Data pipeline performance and assessing areas for improvement. - Researching other variables that can improve the size, throughput, cost-efficiency, and scalability of the dataset. - Accounting for additional variables in the architecture. - Testing the developed architecture and making improvements based on additional data.

AI Features for Dyne Technologies Inc.

The goal of this project is to create full-stack AI features for DYNE Technologies Inc. in order to drive customer acquisition and retention. Technologies used include React, Typescript, PostgreSQL, Node, and Azure. The project will involve several different steps for the students, including: - Analyzing Dyne's existing dataset of customers, products, and reviews. - Developing an AI-driven competitor analysis and demand forecasting software. - Optimizing software usability performance and assessing areas for improvement. - Integrating datasets into large scale pipelines and considering constraints around cost and latency - Accounting for additional variables in the ML engine software. - Testing the developed software and making improvements based on additional data.

Digital Marketing Strategy for Restaurants

Project Steps: Target Audience Analysis: The student will work closely with marketing team to understand the target audience of restaurants and food establishments. This includes identifying pain points, challenges, and preferences for content consumption. Newsletter Strategy and Implementation: The student will research and develop a newsletter strategy to engage and nurture leads. They will help create compelling content for newsletters, including product updates, industry insights, case studies, and tips relevant to our target audience. SEO Optimization: The student will conduct thorough keyword research related to restaurant analytics and implement SEO best practices across website and blog. This includes optimizing meta tags, headings, and content to improve organic search rankings. Paid Advertising Campaigns: The student will plan and help execute online advertising campaigns, focusing on platforms like Google, Meta, LinkedIn, YouTube and Reddit channels. The ads will be targeted towards key decision-makers and stakeholders in the restaurant industry. Performance Tracking and Analytics: Throughout the project, the student will closely monitor the performance of their newsletters, SEO efforts, and ad campaigns. They will use analytics tools to measure key metrics, such as open rates, click-through rates, website traffic, and lead conversions. A/B Testing: The student will conduct A/B testing on ad creatives and newsletter formats to optimize for the best results. Benefits of Project: Targeted Lead Generation : The student will learn how to take an integrated approach focusing on newsletters, SEO, and ads to drive targeted traffic and generate quality leads for our sales team to pursue. Data-Driven Decision Making : By analyzing performance metrics, the student will gain valuable data-driven insights for continuous improvement. Email Marketing Expertise : The student will acquire hands-on experience in crafting engaging newsletters and email marketing campaigns. Google/Meta/LinkedIn/YouTube/Reddit Advertising Skills : The student will develop expertise in planning and executing paid advertising campaigns on popular platforms.

UI/UX Design for Restaurant Application

The main goal of the project is to modify DYNE's restaurant-oriented Web Application tailored to the specific needs and challenges of restaurant owners and operators. Learners will engage in the entire UX/UI design process, from initial brainstorming to evaluation and iteration, gaining hands-on experience and a comprehensive understanding of User-Centered Design principles. Through user research and testing, they will develop the ability to gather and interpret qualitative and quantitative data, informing their design decisions to ensure the application is user-friendly and effective. The expected outcome for learners is to produce an engaging and practical digital product that enhances the overall management and operation of restaurants, contributing to improved efficiency and customer satisfaction. Additionally, learners will refine their technical presentation skills, enabling them to effectively communicate their design proposals and project progress to various stakeholders.