About Me

Hi, My name is Lucy

I'm currently an undergraduate senior at UC Berkeley studying computer science and statistics.

I’m experienced with software development, and I always deliver high-quality products on a timely schedule. I also have experience in all phases of software development from designing user interfaces to implementing and testing. Moreover, my mathematical maturity also enables me to tackle challenges in a well-rounded way.

I am currently looking for a position that would allow me to create new software and apps with my innovative ideas. I would like to use my experience to efficiently solve problems and create software that is competitive in the market and would benefit the organization.

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What I'm Good At

Backend Development

I have strong coding skills and ethics. In my software engineering internship, I developed risk analysis features for a contract review platform, which includes developing, testing, and packaging. I also developed algorithms to improve the task accuracy by 15%.

Some of my projects are: Building the backend API for a routing application similar to Google Maps. Implementing a tile-based game with 1000+ lines of code in Java. Building a simple C Compiler.

Web Development

I am experienced in HTML, CSS, Javascript, and Bootstrap, which I used to develop this website. My web development experience also includes designing interface prototype using AxurePR and implementing website using Vue and Django.

Data Analytics

I interned at a data science educational startup named HasBrain, in which I conducted data analysis from UCI open source datasets, and produced resluts as online educational material for students.

Technologies: statistical modeling, linear regression, classificaion

Leadership

I was the director of Career Development Committee in Data Science Society@Berkeley, in which I lead a group of 10 people to organize career workshops and company info sessions biweekly. We also hosted the Berkeley Data Science panel, which is a full-day event and had 200+ attendees.

Research

I worked with UC Berkeley professor Laurel Larsen on data driven appraoches of hydrological forcasting. I applied transfer entropy analysis to assess timescales of interaction between hydroclimatic variables and streamflow uisng Jupyter Notebook, and performed data cleaning on 2GB+ time-series data from 20+ hydrological stations.

Technologies: Python, Pandas, Numpy, Scikit-learn

Public Speaking

I have taken public speaking classes, and I was honored to be the event moderator at the Berkeley Data Science Panel with 200+ attendees. I have also worked as a group tutor in Student Learning Center to help students with statistics problems.


Skills

Languages

Java 85%
Python 85%
C 65%
SQL 80%
HTML, CSS, JavaScript 80%

Technical Tools

Django
Bootstrap
Vue
MySQL
Git
AxureRP

My Hobbies

Statistics Tutor
My Coworkers From Statistics Tutoring
Career Development Comittee
Our Career Development Committee
Biking
Biking around QingHai Lake, China
Modrn Dance
Modern Dance Performance
Badminton
Badminton Competition

Contact Me

Please feel free to reach out to me if you have any questions, I'd love to share more about my passion and experience in computer science with you! You can also download my resume here.

wangkehua@berkeley.edu

(510)-822-1176