I am a highly motivated rising senior at Cornell University studying computer science and operations research and am passionate about pursing a career in Quantitative Trading, Software Engineering, or Data Science. I am fascinated by data and using my knowledge of numbers and probabilities to predict events and understand the world around me.

In my career, I aim to contribute to meaningful projects and make a positive impact utilizing my skills in machine learning, optimization, data science, and software development. I am driven by growing from my experiences, being at the forefront of technologies, and developing real world solutions. I really value seeing the direct impact of my work, and I love to be challenged. I am committed to continuous learning, and I am looking for opportunities and organizations that share and will help me grow my values.

In my free time, I am an avid runner and compete in club track and field and cross country meets through Cornell Running Club and the National Intercollegiate Running Club Association (NIRCA). I love both watching and playing sports, and many of my projects are centered around them. I also have a love of games and play Settlers of Catan semi competitively and am trying to get better at chess.

Programming Skills: OBJECT-ORIENTED PROGRAMMING / DATA STRUCTURES / ALGORITHMS / FUNCTIONAL PROGRAMMING
Programming Languages: PYTHON / JAVA / C++ / SQL / C / OCAML
Other Technical Skills: MACHINE LEARNING / DEEP LEARNING / REINFORCEMENT LEARNING / DATA SCIENCE / STOCHASTIC PROCESSES / OPTIMIZATION / SIMULATION MODELING
Python Packages: PYTORCH / PANDAS / NUMPY / MATPLOTLIB / SKLEARN
Development Tools: GIT / VSCODE / LINUX / JUPYTER NOTEBOOK / INTELLIJ / ECLIPSE

• 🔭 I am currently working on a sports betting handicapping system for the NFL which predicts spreads for every game incorporating team power rankings, key player injuries, and environmental factors. I use data science and analysis to create power rankings and player impact values as well as identifying how different environmental factors have impacted different teams historically. The system utilizes LSTMs to predict expected points added by various aspects of the game to calculate expected spreads.
• 💬 Ask me about my projects, running, or anything sports!
• 📫 How to reach me: jcj59@cornell.edu (school) jcjansons@gmail.com (personal)
• ⚡ Fun facts: I recently participated in the 2024 Seneca7 relay race with a Cornell Running Club team where as a team of 7, we collectively ran 77.7 miles around Seneca Lake winning for the second straight year and setting a course record by exactly 7 minutes! Currently, I am preparing for Ragnar Reach the Beach where as a team of 12, we will collectively run 200 miles through from the White Mountains to the coast of New Hampshire. Last year we won the whole event, so the pressure is on to defend our title!