Eastern Washington University
Sept 2017 - July 2019
Vivian Ellis
Data Scientist
I'm a Data Scientist with over three years of experience building predictive models and creating interactive reports that drive product innovation and provide valuable data insights.
Machine Learning
I accurately predict customer lifetime value using advanced techniques, such as MBG/NBD models with Deep Neural Networks and XGBoost. Regression analysis allows me to gain valuable insights into customer behavior and its connection to predicted lifetime value, allowing me to develop precise strategies for maximizing customer value. By applying these advanced ML methodologies, I can efficiently pinpoint high-value customers and offer marketing strategies to boost profit.
Analyze
As a skilled data analyst, I provide strategic guidance by conducting comprehensive data analysis using statistical techniques and machine learning algorithms to uncover patterns and trends in large datasets. My adeptness at leveraging data to guide strategic decision-making and optimize business processes is a key asset of mine.
Visualize
I have developed over 20 Looker Studio dashboards featuring visualizations for experimental analysis, behavioral insights, and model metric tracking. My expertise in data visualization helps convey complex data in an understandable and actionable format, aiding stakeholders in making informed decisions based on clear, data-driven insights. Besides Looker Studio, I have experience in Streamlit, Seaborn, Plotly, and Bokeh.
About Me
Hi, I'm Vivian 👋🏻
I am Vivian, a data scientist with extensive experience developing machine learning models using Deep
Neural Networks and XGBoost. My work directly impacts customer lifetime value (CLV) prediction and provides
data-driven insights for making informed decisions for various campaigns, including political and marketing
initiatives. Feel free to explore my portfolio to learn more about my data visualization and
machine learning expertise.
Data Analyst
Implementation Consultant
Fast Enterprises
Aug 2019 - Mar 2021
Data Analyst
PredictWise
May 2021 - Aug 2022
Jr. Data Scientist
Ocurate
Aug 2022 - Oct 2023
Data Scientist
Ocurate
Oct 2023 - June 2024
Portfolio
Selections from my recent personal projects
Mushroom Classification
July 2024
What mushroom characteristics cause certain death and which are most edible.
Predicting Housing Prices
June 2024
A Kaggle competition to predict the final price of a home.
A/B Testing
June 2024
This project is an A/B test conducted on an e-commerce website to determine the impact of a website variation on profit and customer satisfaction.
Significance of a Fireplace in the Home
June 2024
This projects determines the statistical significance between the cost of a house and how many fireplaces are present in the home.
Urbanism Score
May 2024
Find US cities by focusing on your preferences for public amenities. Specify which amenities matter most to you, and the project will generate a personalized ranking of cities.
Cohort Analysis
Dec 2023
A monthly interval of historical and future revenue of customers grouped by first-order month.
Video Game Sales
Oct 2023
What's the highest player rating of all time? And could it match the title of the best-selling game?
Customer Insights
May 2023
An acquisition dashboard that illuminates profitable marketing campaigns and the importance of customer attributes.
At-Risk Churn Customers
Jan 2023
An experiment conducted to evaluate the effectiveness of discount strategies on reducing customer churn and their impact on customer lifetime value (CLV)
Podcast AD Hoc Retrieval
June 2020
A recommendation system to enhance the search functionality within Spotify and enable users to find a jump-in point for relevant podcast episodes.
MySQL Auto-Complete
Dec 2017
A database design tool that assists users in making context aware suggestions.