🌱 I recently graduated with a Master of Science in Data Science and a Bachelor of Arts in Mathematics at the University of Virginia

📈 I worked with Pula Capital Management as a Data Science Intern between January and April 2024. I developed a 1+1D convolutional neural network to predict the day-to-day direction of SPY index prices by capturing patterns in individual stocks and across the S&P 500. I developed models on PyTorch Lightning with Optuna/TensorBoard, employing early-stopping, gradient clipping, and hyperparameter tuning to ensure model convergence and generalizability. I showcased my methodologies to firm executives with a final presentation.

🔭 I worked with the UVA Biocomplexity Institute's Social and Decision Analytics Division as a Data Science Research Assistant and Data Science for the Public Good (DSPG) Intern. Between my 2022 summer internship and my ongoing research, I have worked on these three projects with the Biocomplexity Institute:

• Mastercard: Social Impact Data Commons for DMV Region (R) (https://uva-bi-sdad.github.io/sdc.intro/)
  • ETL, data wrangling, automated testing,
• USDA: Evaluating Broadband Subsidy Programs (R) (www.github.com/DSPG-Young-Scholars-Program/dspg22ers/)
  • linear regressions, t-tests, spatial analysis with GIS, presenting to stakeholders at USDA
• NCSES: Emerging Trends in Government R&D Funding (Python) (www.github.com/DSPG-Young-Scholars-Program/dspg22RnD/)
  • Supervised machine learning, NLP, document vectorization, topic models, presenting to stakeholders at NCSES

Below are some class projects I have completed during my M.S. Data Science program

• Predicting California Precipitation Levels (M.S. Data Science Capstone project, https://github.com/mtvaden1/California_Climate_Capstone)
  • Convolutional Neural Networks, PyTorch, TensorFlow
• Predicting Algerian Forest Fires (for Bayesian Machine Learning final project, https://github.com/mtvaden1/Algeria_Forest_Fires_DS6040)
  • Bayesian machine learning, hierarchical models
• Applying Tidymodels to Spam Filtering (for Statistical Learning final project, https://github.com/mtvaden1/DS6030_TidyModels_Final_Project)
  • Tidymodels, machine learning, educational guide
• Die-Game: Imitating an n-sided die, playing games, and analyzing results (for Programming for Data Science final project, https://github.com/kristianolsson23/die_game_DS6001)
  • Python classes and objects

💬 Ask me about anything!

📫 How to reach me: Email ([email protected]) or LinkedIn (https://www.linkedin.com/in/kristianolsson23/)