• Advisory Consultant in Governance, Risk and Compliance Services (GRCS) Data and Analytics Team

• Trained JohnSnowLabs Sentiment Analysis model (87% accuracy) and researched other models

(HuggingFace, VADER, TextBlob, Flair)

– pandas, numpy, pyspark, sparknlp, matplotlib, sklearn

• Explored and replicated studies/research in Sentiment Analysis

• Data pre-processing/cleaning, creating sample datasets, implementing model with Spark

• Observed model performance using Multi-class Classification Metrics (Precision, Recall,

F1-Score), and confusion matrices

• Presented results to technical peers, product owners, analysts as well as non-technical audiences

• Mentored a team of elementary school girls in solving a global issue with the creation of an app

• Coordinate meetings and set achievable goals with internal deadlines to ensure success

• Supported students through business modeling, problem-solving, decision making,

market analyses as well as the programming of the app using web program Thunkable.

• Provided the team with motivation and gave constructive feedback

• Served as a positive role model by answering questions, giving advice and providing positive feedback.

• Research data analysis

• Explore TensorFlow basics

• Develop data visualization tools using Angular with SQL and Livy

• Analyze and document system maintenance

• Attended stand ups, weekly SCRUM meetings, tracked tasks on JIRA