Kyle Lotke

About Me

Hi, my name is Kyle Lotke. I am a third year AI for Business major, Mathematical Finance minor. This past summer I was data science intern at Aera Technology creating models to minimize shipment costs of supply chains for multiple enterprise clients. Aside from my 9 to 5, I am fortunate enough to begin an AI and data science freelance business. I have worked with an online art company as well as the National Park of Rwanda to build custom products for their business needs. I love the problem solving nature of the work as well as getting crash courses in various industries. No problem is the same therefore each solution is different: which always keeps things interesting.

Outside of academics, I love mountain biking, playing soccer, and currently there is nothing I enjoy more than playing Padel.

What are some of your key professional/career interests?

I am currently operating a AI and Data science freelancing business building custom products for companies, nonprofits, and government organizations. I plan on expanding this business. (or quant not sure yet)

What are some of your skills?

Optimization, AI Agents, Business Strategy, Finance, Data Science

What are some relevant classes/coursework you have taken?

Advanced Finance, Data structures and algorithms, Advanced Business Operations, Intro to machine learning, Calculus 1, 2, and 3, Data Science for Business

What are some of your projects or achievements?

While trekking in Rwandan rainforest to find gorillas, I spoke with a park ranger about how they place hundreds of people into groups to find specific gorilla families. He explained that every day visiters send in hike feature and difficulty requests received individually via WhatsApp, then manually look through each and compare it to the reports from the rangers on where each gorilla family was last seen. The park rangers try to match people with hikes that match their requests as closely as possible. What makes this process so complex besides its volatile, unorganized data is that there are dozens of Eco-tourism laws tat restrict certain group placements. For example, no more than 8 people can visit a gorilla at a time, the same gorilla can't be seen more than 5 times a week, certain gorillas are being researched and can't be visited, and many more. This daily process takes hours and is extremely error prone. I explained that I could create them an AI agent that could store their incoming requests and gorilla tracking data, clean it, and pump it into an optimization algorithm that maximizes the similarities between hike requests and hike data all while following the eco-tousim constraints they laid out for me. The agent is called upon by email and optimal daily pairings are calculated then sent back to the original sender calling upon the agent. This structure makes it very easy to use, turning a two hour daily process into 5 minutes. They were thrilled to have the help and adopted the technology quickly. It has been an honor working for the Rwandan national park and an incredible opportunity to use my skills to give back.