Machine Learning Modelling of Personality Traits

Positions available: one to two students The project’s goal is to create an initial framework for a Machine Learning project which will be used in finding patterns and making predictions about personality traits of people who apply for certain types of jobs. The question we want to ask: are there relationships between personality traits and people who apply for certain types of occupations? For example, do extroverted people gravitate towards people-facing occupations more often than introverts? Do anxious people gravitate towards certain types of jobs? In this project the student will help Maxus lay the foundations for a ML application which will be used in answering these questions. STUDENT TASKS Setup project on GitHub Work with mentor to design a ASP.Netcore/C# webpage to use in evaluating Machine Learning algorithms with respect to our project goals. Enhance existing webpages to help users visualize data from a graph database. Written report on the pros and cons of the selected ML toolsets and especially the challenges within the early stages of the learning curve. The ideal candidate will have basic understanding and interest in relational databases, Visual Studio, C#, SQL, .Net, Machine Learning/AI concepts, webpage design using ASP.Net. COMMUNICATION We will communicate with the student using emails, phone, video, and instant messaging.

Machine Learning Product Evaluation

Positions available: one individual student This is a market research and technical evaluation project into various commercial Machine Learning (ML) products. The main objective is to give Maxus a birds-eye view of the pros and cons and capabilities of selected ML systems in relation to the application of personality assessments for the hiring process. For the chosen set of Machine Learning packages, determine how each one stacks up against the others along key metrics: pricing, hardware platforms supported, developer community size, connectivity, software language support, performance, algorithm library, product maturity, strengths and weaknesses, market share, etc. The ideal student for this project is interested in Artificial Intelligence/Machine Learning, Big Data, market research, databases, and a passion for technology. Creativity, good communication skills, and resourcefulness are especially important for project success. STUDENT TASKS Work with mentor to design a ASP.Netcore/C# webpage to use in evaluating Machine Learning algorithms with respect to our project goals. The ideal candidate will have basic understanding and is familiar with relational and/or graph databases, Machine Learning/AI concepts, social media, market research. Knowledge of software development languages would be useful: C#, Python, Javascript, Java, Html, Json, Xml. Key deliverable: Create a written report on the pros and cons of the selected ML toolsets and especially the challenges within the early stages of the learning curve for using each one. COMMUNICATION We will communicate with the student using emails, phone, video, and instant messaging.

Machine Learning Research with Neo4j

Positions available: one individual student The project’s goal is to create an initial framework for a Neo4j-based Machine Learning project which will be used in finding patterns and making predictions based on a broad set of training data related to consumer and individual behaviour. Some of the things we will create: Standalone Neo4j database populated with a test dataset. ML models for pattern recognition and prediction. Configuration and testing webpage as user interface. The intent is to quickly climb the learning curve for Neo4j to understand the pros and cons of using this tool in a real-world application. In this project the student will help Maxus lay the foundations for an ML framework to be adopted for use in our clients’ respective industries at a later date. STUDENT TASKS Work with a mentor to create a Neo4j graph database to store training data that will be used for ML modelling and predictions. Create a webpage and using GraphQL build a simple querying and testing tool for the database. Participate in data modelling, coding, and web design. The ideal candidate will have basic understanding and interest in relational databases, Visual Studio, C#, SQL, .NetCore, Machine Learning/AI concepts, webpage design using ASP.Net. COMMUNICATION We will communicate with the student using emails, phone, video, and instant messaging.