Artificial Intelligence and Machine Learning Expertise

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

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

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

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

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

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