Artificial Intelligence and Machine Learning Expertise
Nicki Purcell tackles common business challenges across a variety of industries by diving deeply into covariant data analysis and building predictive networks to make recommendations for the future. Below are examples of case studies from completed projects.
Stock Market News Sentiment Analysis and Summarization
Stock Market News Sentiment Analysis and Summarization
Stock Market News Sentiment Analysis and Summarization
Nicki developed an AI-driven sentiment analysis system that will automatically process and analyze news articles to gauge market sentiment, and summarizing the news at a weekly level to enhance the accuracy of their stock price predictions for the purpose of optimizing investment strategies.
Skills and Tools Used:
- Large Language Models
- Transformers
- Prompt Engineering
- Exploratory Data Analysis
- Data Manipulation
- Word Embeddings
- Text Preprocessing
Plant Seedling Classification
Stock Market News Sentiment Analysis and Summarization
Stock Market News Sentiment Analysis and Summarization
Nicki built a robust image classifier using convolutional neural networks (CNNs) to efficiently classify different plant seedlings and weeds to improve crop yields and minimize human involvement.
Skills and Tools Used:
- Image Processing
- Keras
- Tensorflow
- Convolutional Neural Networks
- Transfer Learning
Bank Customer Churn Prediction
Stock Market News Sentiment Analysis and Summarization
Credit Card Users Churn Prediction
To help the operations team identify the customers that are more likely to churn at a bank, Nicki built an artificial Neural Network from scratch. Based on this data, the team could identify loyalty programs to offset churn and increase revenue.
Skills and Tools Used:
- Tensorflow
- Keras
- ANN
- Google Colab
Credit Card Users Churn Prediction
Credit Card Users Churn Prediction
Credit Card Users Churn Prediction
Nicki analyzed the data and came up with a predictive model to determine if a customer will leave the credit card services or not, and the reason behind their departure. This could be used to accurately forecast bank revenue.
Skills and Tools Used:
- EDA
- Random Forest
- Bagging
- Boosting
- SMOTE
- Cross Validation
- Data Preprocessing
- Hyperparameter Tuning
Personal Loan Campaign Modeling
Credit Card Users Churn Prediction
Personal Loan Campaign Modeling
Nicki analyzed the data provided and built a predictive model to identify the customers of a bank who have a higher probability of purchasing a loan. This impacts the bank’s marketing efforts with a more targeted approach.
Skills and Tools Used:
- EDA
- Data Preprocessing
- Missing Value Treatment
- Decision Trees
- Pruning
- Business Recommendations
Food Delivery Service
Credit Card Users Churn Prediction
Personal Loan Campaign Modeling
Nicki performed an exploratory data analysis to provide actionable insights for a food aggregator company to measure the demand of different restaurants and cuisines, which helped them enhance their customer experience and improve the business.
Skills & Tools Used:
- Python
- Numpy
- Pandas
- Seaborn
- Univariate analysis
- Bivariate analysis
- Exploratory Data Analysis
- Business Recommendations