Virtual Internship Opportunity: Marketing

The primary focus for the student will be: Conduct a full competitive landscape assessment; create a campaign and strategy complimented with our organization's brand and core value proposition; identify opportunities and threats facing our brand; assess where and how to improve our brand's presence and differentiate from our competitors with a message for our new business model. Recommend changes to advertising and PR materials. Investigate our competitive landscape; perform market segmentation to identify the ideal target market. Evaluate our current customer base and make recommendations; review our prospect messaging, make improvement recommendations, and create new outreach content. Develop and implement an SEO strategy; provide content suggestions and recommendations to increase search visibility. Conduct an audit of our current social media presence and/or other current communication channel(s) such as website and emailing lists.

Artificial Intelligence & Machine Learning Application

Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.

Integrated Sales & Retail Opportunity Dashboard for Stush Foods

Project Details Stush Foods is a growing food company seeking to enhance its sales strategy and drive market expansion. This project aims to empower Stush Foods with a comprehensive, data-driven tool by combining two critical business functions: sales performance analysis and retail opportunity identification. A team of two learners, with a total of 120 hours, will be tasked with the following: Sales Performance Consolidation & Analysis: The team will begin by consolidating monthly sales reports from our three different distributors, each with a unique format, into a single, standardized dataset. From this unified data, they will build a dynamic dashboard that allows for the analysis of key metrics, including sales trends by region, city, store, and the impact of specific promotions. This will help Stush Patties understand what’s working and where to optimize. Retail Opportunity Identification: The team will also create a separate but integrated dashboard focused on future growth. This tool will combine existing retail locations with publicly available demographic data (e.g., from sources like Statistics Canada) to visualize our current distribution and identify underserved or high-potential neighborhoods. By developing a scoring system, the dashboard will flag promising locations for future retail placement, enabling strategic decision-making for expansion. This project will provide learners with an opportunity to apply their skills in data cleaning, integration, analysis, and visualization in a real-world business scenario. The final product will be a user-friendly, impactful tool that allows Stush Patties to make data-driven decisions efficiently and confidently.