Stephanie Avina
Los Angeles,California
Summary
Aspiring Data Scientist/Analyst seeking to apply proficient statistical analysis through data mining, data modeling, and machine learning algorithms. Highly motivated individual with hardworking mentality looking forward to provide well-developed analytical work with valued team.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Market Trend Analysis
Volunteer Work
Los Angeles, CA
01.2022 - Current
Performed market analysis and researched latest trends.
Gathered data on competitors to analyze prices, sales and methods of marketing and distribution. Researched interesting and relevant content to capture interest and improve site traffic as well as identifying appropriate marketing channels and target customers.
Co-Organizer
Los Angeles Amazon Alexa Developer Meetup
Los Angeles, CA
02.2019 - 12.2019
Organized meet ups for anyone interested in building apps called "skills" for Alexa, the voice service that powers Amazon Echo. Helped coordinate events, talks and workshops teaching how to build voice experiences with the Alexa Skills Kit (ASK) and how to Alexa-enable your connected devices with the Amazon Voice Service (AVS).
Code
University of California, Santa Barbara
Santa Barbara, CA
01.2014 - 04.2014
Engaged in weekly meetings on how to use resources at UCSB so students with disabilities feel included in the community.
Accomplished collaboration skills to maximize other people's needs.
Education
Bachelor of Arts - Statistics
University of California, Santa Barbara
Santa Barbara, CA2018
Skills
- Experience in SQL, Python, R studio, SAS, Tableau, C
- Machine Learning Algorithms
- Ability to Read and Interpret Data
- Data Mining
- Predictive Modeling
- Fluent in English and Spanish
Data Science Projects
Data Mining
Breast Cancer
Modeled data for predicting cancer types, Benign or Malignant, using different methodologies such as SVM, RandomForest, LDA. The principal component analysis following the model explained 90% of the variance within the data.
Time Series
Forecasting Suicides
Forecasted suicides in the next 10 years through attempting different methods and identifying the best model for more accurate results.
Plotted the time series, transformed the data and plotted the ACF/PACF and analyzed the residuals to find the best SARIMA model. Results Indicated slight suicide increases over the next 10 years.
Certification
Google Data Analytics Certificate (2022)
Timeline
Market Trend Analysis
Volunteer Work
01.2022 - Current
Co-Organizer
Los Angeles Amazon Alexa Developer Meetup
02.2019 - 12.2019
Code
University of California, Santa Barbara
01.2014 - 04.2014
Bachelor of Arts - Statistics
University of California, Santa Barbara
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