STAV TSECHANSKY

Diligent Engineer takes responsibility for ongoing projects and new endeavor planning. Provides deep technical knowledge and common-sense business acumen for initiatives. Committed to reaching business goals through technical management and impactful analyses.

• Engineering Honors & Scholarship, University of Texas at Austin, Fall 2021 - Present, Earns scholarship money and participates in engineering honors events
• Plan II Honors, Bachelor of Arts, The University of Texas at Austin, Fall 2021 - Present
• Python for Data Science and Machine Learning Bootcamp, Training in scikit learn and tensor flow
• Computational Engineering Certificate, Training in MATLAB and C++

Tensor Flow Classification - Diagnostic (Benign vs. Malignant) Classification Model, Spring 2024, Trained TF Deep Learning model to classify patients as having a Benign or Malignant condition, Mitigated overfitting by implementing early stopping callbacks and dropout layers Tensor Flow Regression - House Price Prediction, Spring 2024, Trained TF Deep Learning model to predict house prices, Utilized model optimizer to reduce loss on test data set K Means Clustering - Private or Public University Classification, Spring 2024, Applied K Means Clustering using scikit learn to cluster colleges, producing clusters of Private vs. Public colleges

• Texas Business Analytics, Active Member, Spring 2024, Participated in data science challenges and biweekly events
• VetSpace, Co-Founder/Lead Software Engineer, 05/23, 05/24, Founded an online job board company focusing on the veterinary industry., Developed online platform, including user authentication, database, and employers' candidate portal
• Texas Rocket Engineering League (TREL), Corporate Relations/Engineer, Spring 2024 - Present, Maintains corporate relations with TREL partners which include Lockheed Martin and Firefly Aerospace, Assists various engineering teams with engineering problem solving