.png)
Looking for my next opportunity
to make a change.
The AI way.
Hi! I'm Erica
Unique professional background, spanning over 15 years of experience in public, government and client relations, a Master's Degree in Digital Communications from John Hopkins University, and a 6 month AI and Machine Learning Certification from UPENN, demonstrates ability to easily adapt to diverse situations and provide a high level of service to clients and internal teams. Dynamic and motivated, with a record of managing and creating projects and campaigns from concept to completion, including strategic planning and creative development; as well as conducting target market analyses and evaluating research data to determine the best course of action for clients’ needs. Trained in AI and Machine Learning provides ability to offer unparalleled data analysis, personalization, and automation capabilities to make data-driven decisions, optimize campaigns, and deliver exceptional customer experiences.
Neural Networks Content Strategy Web Design
Branding Campaign Creation Predictive Modeling
Customer Sentiment Analysis Social Media Creative Initiatives
User Engagement Predictive Analytics Data Integration
Natural language processing (NLP)
My AI Projects
Predicting Customer Purchase Behavior
with AI Model Optimization
This project focuses on predicting customer purchase behavior using machine learning models, with an emphasis on feature importance. It highlights how to implement and optimize predictive models, offering marketers a framework to integrate AI-driven decision-making into their operations.
machine-learning logistic-regression data-preprocessing predictive-modeling decision-tree-classifier binary-classification smote random-forest-classifier customer-segmentation marketing-analytics stacking-ensemble model-optimization
.png)
Stock Price Forecasting Using Deep Learning and Equity Analysis
This project explores the use of deep learning models to forecast stock prices and evaluate market trends. Using an LSTM (Long Short-Term Memory) neural network architecture, we analyze and predict short-term stock prices for major companies, focusing on Microsoft, Tesla, and Google. The project also integrates interactive visualizations to enhance the analysis and presentation of results.
python training testing sentiment-analysis neural-network tensorflow scikit-learn keras cnn lstm-neural-networks forcasting. llms data-visualization data-analysis preprocessing predictive-modeling predictive-analytics
Decoding UFO Sightings:
Patterns, Perceptions & Possibilities
Using a dataset of over 80,000 documented UFO sightings from 1910 to 2014, this project examined trends over time and created geovisualizations to map patterns in the U.S. Predictive modeling was then applied to forecast sightings by state and shape, providing valuable insights into the UFO phenomena.
python geocoding pandas dataframe plotly data-visualization data-analysis preprocessing predictive-modeling predictive-analytics geovisualization time-series-analysis prophet-model ai-machine-learning
_edited_edited_edited_edited.jpg)
My Education
April 2024 - Nov. 2024
Certification in AI and Machine Learning
University of Pennsylvania, College of Liberal & Professional Studies
2011-2013
MA in Digital Communications & Public Relations
Johns Hopkins University, Washington, D.C.
2001-2005
BA in Psychology
Pennsylvania State University, State College, PA
