Data Analytics for Life Science Sales Platform

This project aims to analyze data from vablet’s pharmaceutical sales platform to identify key trends and insights regarding sales representatives' engagement with sales materials. Students will explore usage patterns, determine which materials are most frequently accessed, and provide data-driven recommendations to optimize content strategy. By leveraging data analytics techniques, students will help Meiotic understand the effectiveness of their platform in driving physician engagement while enhancing their skills in real-world business intelligence and data visualization.

AI Model for Medical Image Analysis

This project will involve developing an AI model to analyze a dataset of approximately 27,000 anonymized eye images collected during the COVID-19 pandemic. The model aims to detect and diagnose medical conditions such as hypertension and diabetes based on retinal images. By participating in this project, students will gain hands-on experience in machine learning, deep learning, and medical image analysis while contributing to a real-world healthcare application.

Marketing Strategy Plan / Relaunch

We want students to help us build a marketing strategy plan to grow and engage our target market: Regulated Industries - Life Science Companies but are very open to others. We benefit all Sales People in all industries but excel in markets where if you do not show the right version of the content, fines exist. Our platform is mobile first - meaning it is designed for us on Cellphones/Tablets/Laptops - we also have a web version. 11 year track records, large name brand clients. We just had a major relaunch in Dec of the platform, and website in Jan. We’d like to know how we can maximize use of different channels and get recommendations to improve our messaging. The main questions we’d like students to help us answer are the following: How do students currently perceive our brand and marketing, based on publicly available information about our company? Knowing our expertise is working with heavily regulated industries, like Life Sciences - where showing the wrong literature is a finable offense what messaging should we have? What channels should we utilize for promotion, including ones we are not currently using? We currently Blog, and post on FB, Insta, Twitter and LinkedIn. What messaging is appropriate for our market, given our goals? How could our messaging be updated to better explain our value proposition? Since Covid started, sales reps now can meeting in person, remotely in public or private spaces and internet connectivity is not assumed. Our platform works on or offline, most people do not realize the value of this until it is too late.

Strategic AI & Machine Learning Application

We want to leverage the latest technology to gain an advantage in our market. We would like to collaborate with students to strategically apply AI and machine learning in our organization. Through using internal (Azure AI) and open source data (Tensorflow) analytics models, methodologies, and machine learning tools, we hope to get an end-to-end machine learning solution. Students should be prepared to: Identify and present an opportunity within our organization, which AI could be applied. Develop a unique machine learning solution, based on the the latest technology. Create a report that provides an in-depth overview into the AI solution. A few areas of specific interest for us include: Search Recommendation Engine (Imagine you are looking for content and you do not know the name of it, part number you only have a few tags) Content Recommendation Engine (Our clients use vablet as presentation tool, what content should be shown next, or email as part of a follow/up) Email Recommendation Engine (which files when emailed are being engaged with. We track open, clicked on duration, much more). Image Recognition (very specifically, is the image just taken a close of up an Eye and is the Sciera in focus) Our data is currently captured and stored in SQL Server, and can be exported to CSV or can be pulled via an API. People talk about AI Powered Sales - Typically this means that the software is making content recommendations, this is our goal as well. This is a complex task because we only know part of the data. We know what content was shown, emailed, but to determine if the presented content actually resulted in the closing of a deal, you need CRM data. We have access to some CRM data but not 10K rows.