const awenli = {
 school: ["Univeristy of California Davis"],
 major: ["Business and Computer Science"],
 graduation: ["December 2022"]
}

🔭 Currently working on new data visualization projects

Artificial Intelligence, Machine Learning, Object Orientated Programming, Data Structures, Algorithms and Design, Discrete Math, Linear Algebra, Econometrics, Applied Statistics

Languages: Python, SQL, HTML/CSS, MATLAB, Stata
Libraries: PyTorch, Tensorflow, Pandas, NumPy, Matplotlib, Scikit-learn, Keras, Seaborn
Other Software: MySQL, Google Colab, Jupyter Notebook, Vercel, Tesseract OCR , LaTeX, Figma, Tableau
Databases: MySQL, CockroachDB, SQLite, DBeaver

• Front-end website design and deployment using Figma and Vercel • Database management using CockroachDB and SQL, helped hosted over thousands of datasets
• Image transformation to character reading with Tesseract OCR (Optical Object Reading)
• Addressing post-forward custom backend API problem

• Modeling and created dashboard visualizations
• Intricate deep brain modeling of neurons and defining specific parts of the brain triggers
• Developed data visualization graphs through MATLAB and TensorFlow usage for Electroencephalogram data analysis
• Front-end development using HTML/CSS, provided user interface with ease of navigation and usage

• Development of visualization model for defining stages of cancer and development of highly accurate Artificial Intelligence models with 99.17% accuracy
• Building initial regression model of Convolutional Neural Network in Google Colab for cancer comparisons
• Working with large dataset of over 1000+ images and eliminated confounding images

• Focused on providing levels of trsut for streamers members within streaming communities through safety extension
• User UX extension dashboard for easier navigation of creating safer communities between close-knit streamers, personalized interactions to streamers
• Analyzing and testing of Teams+ extension through beta testing, improved product development requirements

• Collaborated with sub-team of 10 engineers on writing and developing firmware for F1 race car
• Tested functional operations and safety parameters of car and optimized control improvements of wind resistance and torque control during acceleration by 20% on tarmac
• Managed sponsoring events and budgetary at downtown local restaurants to raise over $3,000 for necessary equipment of the car

• UCLA Hacks Finalist Award Health/Tech (April 15-17, 2022)
• UC Davis Hackathon Finalist Award Health/Tech (Jan 16 – 17, 2020)
• TwitchCon Developers Hackathon Finalist Award (Sept 28 – 29, 2019)

While not working, some of my interests are running, photography, dancing, ML and AI, eating out, and of course hackathons

🌱 Currently working on large SQL data and incorporating it with ai and ml models

🔬 Currently tinkering with projects using Tableau and data manipulation!

😄 I am also currently learning Korean language!