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Data Analyst

Sanford, California, 90005, United States
August 16, 2019

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Data Scientist with a background in the banking industry. I enjoy analyzing problems and uncovering creative solutions, whether it’s with bank products or data. Through data science, I strive to develop actionable business insights that can help people and companies succeed in significant ways.


Technical Skills: Machine Learning Modeling, Data Analysis, Data Visualization, Regression, Classification, Supervised Learning, Unsupervised Learning, Linear Algebra, Statistical Analysis, Deep Learning, NLP, APIs.

Technology Tools: Python (Pandas, Scikit-Learn, NumPy, Matplotlib, Keras, TensorFlow), PostgreSQL, Spark (Scala), Jupyter Lab, GitHub, AWS EC2, Docker, Tableau, Excel, Google Analytics, Google Data Studio, SEM Rush, Ahrefs, Salesforce.


LAFD Response Times & LA County Neighborhood Census Analysis

Applied machine learning modeling to help LA neighborhood residents and council members understand whether certain factors have any correlation to the average response time from the LAFD.

Methods: Linear Regression, Random Forest Regressor, XGBoost Regressor

Tools: Python (Pandas, NumPy, Matplotlib, Scikit-Learn, GeoPandas, Socrata), Tableau

Twitter: Natural Disaster Detection

Collected old Tweets from locations of natural disasters. Using a dataset of 100,000 tweets marked as either “disaster” or “non-disaster” related, we trained a model using NLP to classify tweets as such. Chose SVD/RF model (94% test-score) as the production model.

Methods: Logistic Regression, LDA, SVD, PCA, KNeighbors Classifier, Random Forest Classifier

Tools: Python (Pandas, NumPy, Matplotlib, NLTK, Scikit-Learn, GetOldTweets3)


JourneyEngine. Los Angeles, CA

Data Analyst (Freelance) May 2019 – Present

Utilized key SEO data sources to aggregate and audit the social media, advertising, and lead generating metrics of the client’s top 3-5 competitors at website page level.

Developed and presented a Competitive Intelligence report to the client’s team. Incorporated S.W.O.T analysis as well as business, SEO, content, lead generation strategy, and social insights.

Forecasted the client’s organic traffic and ROI of SEO to help set growth targets for future campaigns.

Bank of America, Corp. Los Angeles, CA

Relationship Manager August 2017 – December 2018

Developed marketing and sales strategies to capture and expand customer base, which resulted in a 15% increase in my sales per quarter cycle.

Provided comprehensive, multi-product banking solutions and financial recommendations to Consumer & Small Business clients.


General Assembly Santa Monica, CA

Data Science Immersive February 2019 – May 2019

University of Southern California, Marshall School of Business Los Angeles, CA

Bachelor of Science in Business Administration, Finance May 2017


Data Analytics Los Angeles, CA

General Assembly October 2018 – December 2018

Lean Six Sigma Green & Yellow Belt Los Angeles, CA

USC Marshall Center for Global Supply Chain Management March 2017 – May 2017

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