

- Location
- Greater Sudbury, Ontario, Canada
- Bio
-
Sidney is the Manager of Data Science at Sofvie, where he leads the data science team figuring out things with data. He has a PhD in social network analytics and six years of teaching and research experience working with grad students in data We develop software, websites, and apps to bring tools and insights to our developers and clients. With a background in data analytics and data science, Sidney is proficient in Python and SQL and has a strong understanding of databases.
- Companies
-
-
Greater Sudbury, Ontario, Canada
-
- Categories
- Website development Software development Machine learning Databases Data science
Socials
Achievements



Latest feedback
Project feedback


Project feedback


Project feedback


Recent projects

Sofvie Inc. Flask/Python SQL Website Development Project
The main goal for the project is to develop a website using Python and Flask with SQL for Sofvie Inc. The website will serve as a platform to enable the workforce in their operational excellence journey. The project will involve the following tasks for the back end developer: - Collaborating with the team to understand the company's mission and goals. - Building modules for the website using Python and Flask. - Integrating SQL for database management. - Ensuring the website is user-friendly and aligns with the company's vision for operational excellence.

Create PowerBI Dashboard templates
The main goal of the project is to develop Power BI dashboards that can retrieve data from various API endpoints created by the data science team at Sofvie. The aim is to create customizable templates that can be used by clients to create their own dashboards. The problem that the students will be solving is to design and implement a user-friendly and efficient dashboard that can display relevant data insights to the clients. The expected outcome is a functional and scalable dashboard solution that meets the needs of our clients.

Data Science Internship with Sofvie
The main goal of this data science internship with Sofvie is to analyze and explore occupational health and safety data in order to gain insights that will help improve workplace safety and reduce the likelihood of accidents or injuries. The data science interns will be expected to develop data models, perform data cleaning and analysis, and create data visualizations that will help identify patterns and trends in the data. The ultimate outcome is to use these insights to inform data-driven decisions that can enhance workplace safety and protect employee health.

Sofvie UX UI for Website and Web App
The main goal for the Sofvie UX/UI for Website and Web App project is to enhance the user experience and interface of the website and web application. A team of students will work together over a seven-week period to understand and solve a UX/UI design problem faced by the company. The students will use their design thinking, research, and teamwork skills to identify areas for improvement and suggest solutions that will result in a more user-centered design. The expected outcome is an improved and more user-friendly website and web app that better serves the needs of its users.