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Data Analysis- Proficiency in Statistics

Location:
Elk Grove, CA
Salary:
92000
Posted:
December 21, 2023

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Resume:

Nicolas Guerzon

STUDENT

209-***-**** ad14pg@r.postjobfree.com Elk Grove, CA 95624

Very capable at paying attention to advice and details in order to succeed. Incredibly focused with a high resistance towards distractions during work hours. Ability to manage and complete tasks in an organized and timely manner. High capability for communication with peers when either they or I am in need of help. Flexible schedule availability for any kind of shift whether they be early in the morning or late into the night. Strong R, Python, and Excel skills. Valuable member of any team I am put in. EDUCATION

BACHELOR OF SCIENCE (B.S.) IN STATISTICS GPA 3.36

University of California - Davis, CA

Relevant Coursework

● MAT 021D - Vector Analysis: Green's theorem, Stoke's theorem, divergence theorem.

● STA 106 - Analysis of Variance: Basics of experimental design.

● STA 141C - Adv Stat Computing: High-performance computing in high-level data analysis languages; R and Python programming languages.

● MAT 021C - Calculus: Sequences, series, tests for convergence, Taylor expansions. Vector algebra,vector calculus, scalar and vector fields.

● STA 108 - Regression Analysis: Simple linear regression, stepwise regression, analysis of covariance, computing packages.

● STA 130B - Math Stat Brief Course: Basic ideas of hypothesis testing, likelihood ratio tests, goodness-of-fit tests.

● GEL 081 - Learning in Sci & Math: Sixth-grade math tutoring experience, Exploration of how students learn and develop understanding in science/math.

● MAT 167 - Applied Linear Algebra: Applications of linear algebra; LU and QR matrix factorizations, eigenvalue and singular value matrix decompositions.

● STA 135 — Multivariate Data Analysis: Multivariate normal distribution; Mahalanobis distance; sampling distributions of the mean vector and covariance matrix; Hotelling's T2; simultaneous inference; one-way ANOVA; discriminant analysis; principal components; canonical correlation; factor analysis. Intensive use of computer analyses and real data sets.

● STA 160 — Practice in Statistical Data Science: Principles and practice of interdisciplinary, collaborative data analysis; complete case study review and team data analysis project.

● STA 141B — Data & Web Technologies for Data Analysis: Essentials of using relational databases and SQL. Processing data in blocks. Scraping Web pages and using Web services/APIs. Basics of text mining. Interactive data visualization with Web technologies.

● STA 142A - Statistical Learning 1: Fundamental concepts and methods in statistical learning(machine learning) with emphasis on supervised learning. Principles, methodologies and applications of parametric and nonparametric regression, classification, resampling and model selection techniques

● STA 137 — Applied Time Series Analysis: Time series relationships; univariate time series models: trend, seasonality, correlated errors; regression with correlated errors; autoregressive models; autoregressive moving average models; spectral analysis: cyclical behavior and periodicity, measures of periodicity, periodogram; linear filtering; prediction of time series; transfer function models.

● STA 138 — Analysis of Categorical Data: Varieties of categorical data, cross-classifications, contingency tables, tests for independence. Multidimensional tables and log-linear models, maximum likelihood estimation; tests of goodness-of-fit. Logit models, linear logistic models. Analysis of incomplete tables. Packaged computer programs, analysis of real data. Certifications

● Driver’s License

● California Food Handler Training Certificate Program

● UC Preventing Harassment & Discrimination: Non-Supervisors Certification

● UC Cyber Security Awareness Fundamentals Certification

● UC Preventing Abusive Conduct In The Workplace Certification Work Experience

● Part-Time Student Worker At Olive & Vine Catering(STDT2 At UC Davis) for 1 year. Q&A:

What made you choose a career as a Statistician/Data analyst? I’ve always enjoyed statistics since high school and decided to pursue a degree because I also heard that statistics is a good degree to start with. Additionally, data-based work feels valuable in the modern age due to the huge amount of widespread tech usage alongside the internet, so I feel like any work I would conduct with data would be a valuable use of my time. Can you tell me your recommended steps in analyzing policies? I am extremely dedicated to following work policies to the best of my abilities, even if others around me would not. These include policies on how to treat coworkers, handle situations I am involved in or observe, and try to use the policies to improve the workplace. This is accomplished by observing and understanding even minor details, and the importance and reason for those minor details needing to exist. Tell me about a time when you went above and beyond the call of duty. What was the outcome? I often try to go beyond the work I see in my peers, as I want to be someone who leaves a positive and lasting impact at the places I work at. In my previous work, I often tried to be a positive role model for my coworkers by actively working around those who I observed to be more distracted, and then requesting their help to get them back on task without directly pointing out their prior behavior. This method often proves successful as a way to peacefully help coworkers realize there is more work to be done. In the educational setting, I was also someone who wanted to go above and beyond, often being shocked by the amount of people remembering me and my name for the times I’ve helped them or others. Such as one of my professors asking me to help out with questions after class, or the post-covid era when I learned lots of people recognized my face from my profile picture in the tutoring sessions I liked to create and hold for the class prior to exams or other large tasks. What was your most successful project as a statistician? One of my most interesting projects included one on observational data to observe and make a stance on a conflict between the President Biden and the owner of Tesla Elon Musk over who are the leaders in electronic vehicle productions. Not only did my team create a clear depiction of the data showing that Tesla is far and above the most sold and recognized electric car producer, but I also may have inadvertently created the biased data set which President Biden’s tweet was created off of. Overall the top 3 were Tesla, Chevrolet, and Nissan with a huge difference between third and the fifth place Ford. However, by only selecting the years and states where Tesla was not the most sold, it ends up with a dataset where Chevrolet and Ford are the top selling electric vehicles-something that matches exactly what was in President Biden’s post despite Ford not even being in the original top 3. How do you cope with pressure at work?

I often do feel pressure at work, but I have never been one to succumb to pressure and often enjoy the challenge. Whenever there is pressure on me at work it makes me feel like there’s something I can do, and if there’s something I can do then I want to do it to the best of my abilities. Of course there are situations that make me and anyone uncomfortable such as someone being unruly in the workplace whether they be a coworker or otherwise, but often when it comes to that at worst I will try to follow and describe company policies in an attempt to remedy the situation.

Why should we choose you over other candidates?

I have always been someone who leaves a positive impact on the workplaces I enter, whether it be for school or part time opportunities. If I were given the opportunity to commit to something full-time, I am fully confident that I would be an ideal candidate for that position.



Contact this candidate