Ederlyn M. Tanangco

Data Scientist | Data Analyst

Arlington, VA · (703) 409-4141 · Ltanangco8@gmail.com

Data Scientist with a psychology background who tells meaningful stories with data. Inspired to help translate large data into actionable results to be able to connect consumers with products and services in a team setting.


Experience

Data Science Immersive Student

General Assembly

Applied skills in computer programming and statistics in a 500+ hour immersive program. Developed a portfolio of client projects:

  • Beer Recommender Application
    • Produced an application that returned similar beers to users using the Scikit-Learn library’s Pairwise Distances & Cosine Similarity. Dataset was taken from Kaggle and analyzed, cleaned and performed Exploratory Data Analysis. Used clustering methods such as, KMeans and DBSCAN. Evaluated the model using K-Nearest Neighbors. Presented the project to a technical and non-technical audience.
  • Sentiment Analysis on Covid-19
    • Completed a sentiment analysis of Covid-19 Twitter posts in the United States to see the general public sentiment in response to state policies. Our team pulled 60k posts with relevant keywords to “coronavirus” and “executive orders”. Results concluded that the current public sentiment in response to state policies and Executive Orders were relatively neutral.
  • Web API & NLP
    • Created a conceptual application called “Health Today”. Based on user engagement, the team predicted and analyzed two separate categories (“food” versus “exercise”) in order to find which subreddit category would be most beneficial when marketing and deploying a health application. Completed Natural Language Processing (NLP). Multinomial Naive Bayes pipelined with CountVectorizer received an accuracy score of 84%. TfidfVectorizer with logistic regression was used as a comparison model. Results concluded that “exercise” was a better predictor for our health application.
March 2020 - June 2020

All Plumbing, Inc.

Operations Manager
  • Led an office team of 6 and a field team of 25, overseeing day-to-day operations. Organized and facilitated multiple company-wide training, which entailed coaching, mentoring and troubleshooting.
  • Integrated and trained associates on a new field management system which cut invoice payment turnaround time ~40% and increased revenue 5-7% in 6 months.
  • Developed tailored sales techniques to sell and upsell residential and commercial projects to existing and prospective clients.
January 2015 - February 2020

All Plumbing, Inc.

Marketing Manager
  • Developed and maintained marketing campaigns that included digital, social media analysis, email, and print, resulting in a 20% increase in sales leads per quarter.
August 2007 - January 2015

Education

General Assembly

Data Science Immersive
March 2020 - June 2020

George Mason University

B.S. Psychology
January 2010 - May 2014

George Mason University: Human Factors (Human-Computer Interaction)

Undergraduate Research Assistant
  • Conducted over 200 participant simulations for studies in spatial attention, multiple modalities, auditory and visual perception, and cognitive workload.
  • Collected hundreds of participant data, assisted with data analysis using Excel and MATLAB.

Skills

Programming Languages | Machine Learning & Libraries | Analytical Tools
  • Python
  • Pandas
  • NumPy
  • Scikit Learn
  • Matplotlib
  • Seaborn
  • Exploratory Data Analysis
  • Tableau
  • Data Visualization
  • Natural Language Processing
  • Sentiment Analysis
  • Cluster Analysis
  • Predictive Analytics
  • Predictive Modeling
  • Statistical Analysis
  • Anaconda: Jupyter Notebook, Jupyter Lab
  • VS Code
  • Git | GitHub
  • Microsoft Office
  • Microsoft Excel

Interests

Aside from being a data scientist, I love to travel! I enjoy being outdoors, whether it be hiking to find the nearest waterfall or laying out on an open field. I enjoy playing casual soccer.

My most favorite thing to do is hangout with my cool guy, Beans!

Beans the Pug