Frances Gu

Diamond Bar, CA Email: adk0t9@r.postjobfree.com 626-***-****

Osmose HR Manager

West Covina, CA

Dear Hiring Manager,

It was with much excitement that I learned of Osmose’s search for a Data Analyst. I am highly interested in consideration for this position since it would enable me to apply my statistical skills. As a statistics student, I have a passionate interest in the field of data analysis and have experiences of using varied analytical techniques in the insights to deal with big data. I gained problem solving skills from my academic study and learned presentational and interpersonal skills from work experiences. I have excellent individual performance and prepared to work as a team. My undergraduate experience at UCLA has equipped me with a deep understanding about machine learning and data mining. I am thankful that the rigorous learning environment unique to UCLA has trained my expertise in not only R language, but Python as well. I am also on the process of learning SQL online. My multi-tasking, fast learner, time management abilities and ability to work productively in a high-spaced, pressured environment are also some of the many qualities I have polished along my work experiences and education. I am very interested in discussing Osmose’s requirements for a data analyst who can locate and define new process improvement opportunities. I would be delighted to attend for an interview and can be contacted on 626-***-**** or at adk0t9@r.postjobfree.com at any time.

Thank you for your time and consideration

Best regards,

Frances

Frances Gu

Diamond Bar, CA Email: adk0t9@r.postjobfree.com 626-***-**** EDUCATION

University California, Los Angeles Los Angeles, CA Statistics B.S. March 2021

COURSEWORK

Programming: Computational Statistics with R • Probabilistic Decision Making with Python • C++ Relevant Courses: Computation and Optimization • Data Mining • Monte Carlo Simulation • Experimental Design Mathematics of Investment and Credit • Principles of Oral Communication RELEVANT EXPERIENCE

Course Project Los Angeles, CA

Q-Iteration (Python) January 2021 – March 2021

• Coded Q-value algorithm to calculate the value of an action in a particular state

• Utilized updated Q-value to draw an e-greedy policy for choosing optimal actions

• Developed a unit test for functions

YouTube Views (R) September2020 – December 2020

• Cooperated with a team of 3 students on predicting the outcome of growth rate of YouTube videos precisely

• Executed an in-depth data cleanup and data transformation given 256 variables

• Performed data exploration and visualization using the tidyvers and ggplot packages in R to discover hidden trends

• Utilized 5-fold cross validation to compare lowest RMSEs for an optimal model selection

• Utilized PCA combine with adjusted random forest regression that led a more stable performance Pomona Valley Chinese School Los Angeles, CA

Weekly Part Time Teacher August 2015 – May 2018

• Communicated with parents effectively for resolving their concerns

• Worked cooperatively with students and parents in developing and sharing curriculum strategies

• Developed instructional materials to motivate students and cater to the needs of the whole ability range within the class PROJECTS

Kaggle Competition (R)

• Football Player’s Wage: model-fitted linear regression to predict the Football Player’s wage, given 80 variables. Virtual Islander (R)

• Experimental Design: utilized two-way ANOVA randomized block design combined with G-power to explore the association of dark chocolate consumption and serotonin level on virtual islander Decision Making (Python)

• Coded Bayesian inference algorithm and existing Python libraries in an attempt to predict the value of information using lecture ocean drilling example.

EXTRACURRICULAR ACTIVITIES

Lingyen Mountain Temple Los Angeles, CA

Education Volunteer June 2015 –October 2017

• Contributed to Sunday school program development and innovation

• Contributed to training and orientation of new volunteers HONORS - Pasadena City College

• Awarded Honors in Mathematics by successfully completing each upper division math courses Skills

• Computer skills: R, Python, C++, G-Power, Word, Excel, PowerPoint

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