Lance Fernando

Data Enthusiast · Amateur Musician · Lazy Cyclist · Ljfernando@usfca.edu

I am a data enthusiast with experience wrangling, modeling and visualizing data in its many shapes and forms. Aside from data-related ventures, you can catch me jamming on my Gibson LP Standard or shamelessly singing some musical theater tunes. I also love messing with bicycles, currently rocking an '86 Trek 620.

Experience

Pandora

Product Analyst

Areas of ownership:
Consumer Electronics | Automotive Integrations | Collections | Offline & Downloads

May 2020 - Present

SiriusXM - Automatic Labs

Data Analyst

Predictive Maintenance: Implemented various anomaly detection methods to quantify the state-of-health of lead-acid car batteries and forecast battery death as much as two months in advance.
Dealership Master Tables: Built and managed PySpark ETL pipelines for source-of-truth hive tables tracking all dealership partnership data which also fed various internal KPI dashboards.
Dealer Insights: Developed and productionized a consumer-facing visualization dashboard providing dealerships with actionable, data-driven insights to increase their customer retention.

July 2019 - May 2020

Eventbrite

Data Scientist Intern

Customer LTV model: Built a multi-class classification random forest model to predict the lifetime value of our customers with 96% accuracy and a Micro-Avg. F1 score of 0.96.
Venue data enrichment: Deduplicated over 5 million venue addresses using a HMM and fuzzy string similarity metrics resulting in venue data assets to be used in predictive models and other analyses. Implemented the search ranking methodology for our venue marketplace using these assets.
Customer insights: Collaborated with the Product team to define metrics and performed statistical analyses that uncovered product features that are highly correlated to the success of our customers. Presented insights to the company and impacted the product roadmap.

November 2018 - July 2019

ABC News | USF Data Institute

Graduate Research Assistant

Created a real-time web-app for the Decision Desk at ABC News in election forecasting. First team to call multiple 2018 US midterm races by building a proprietary mathematical model. More info.

September 2018 - November 2018

Research Intern

CA Technologies

Developed a rule-based anomaly detection dashboard that identified important features and the optimal way to visualize each feature.

August 2016 - May 2018

Research Assistant

USF Visualization and Graphics Lab (VGL)

Researched the most effective aesthetic choices in building scatter plots. Conducted a MTurk study that emulated scatter plots created by five common visualization tools and asked users to perform various interactive tasks.

June 2017 - May 2018

Volunteer Data Intern

ClimateMusic Project

Analyze and aggregate climate data from various sources and provide visualizations. Assist in the development of an open-sourced tool, allowing composers and enthusiasts to create climate data-driven music.

December 2016 - February 2018

Education

M.Sc. in Data Science

University of San Francisco
Relevant Coursework

Advance Machine Learning · Deep Learning · Experimental Design · Distributed Computing · Time Series Analysis · Linear Regression · Bayesian Statistics

June 2018 - June 2019

B.Sc. in Data Science

University of San Francisco
Computational Analytics Concentration

Overall GPA: 3.81 · Major GPA: 3.66

Relevant Upper-Division Courses

Probability · Statistics · Linear Regression · Numerical Linear Algebra · Stochastic Processes · Statistical Learning · Data Mining · Databases · Data Visualization

August 2014 - May 2018

Projects & Technologies





Data Visualization

  • My Visualization Portfolio


    Languages: Python · R · Javascript
    Data Visualization: ggplot2 · D3.js · matplotlib · Tableau · Plotly
    Database Technologies: Presto · Hive · PySpark · PostgreSQL · MySQL · MongoDB · AWS
    Front-End Web Development: Flask · Jinja2 · Angular.js · Vue.js