▪ Developed and implemented reporting dashboards to accurately and consistently deliver information to internal customers▪ Partnered with executives, regional leaders, department heads and subject matter experts to develop relevant metrics and KPIs and to assist in the development of data solutions which met the needs of their individual departments and the bank▪ Examined existing data sources and developed plans to ingest data into central repository▪ Effectively translated business needs into technical requirements and documentation ▪ Clearly and concisely communicated the results of analyses to business leaders in familiar business language ▪ Performed analysis on data to identify patterns and relationships and translated the results into meaningful business recommendations Tech: Tableau | Incorta | DbVisualizer | Azure DevOps | Visual Studio Code | Git | Python | SQL | Oracle | PySpark | Microsoft Office Suite | Task Scheduler

▪ Learned industry best practices and modern data science standards alongside a senior data scientist mentor▪ Developed and presented projects involving exploratory data analysis, data cleaning, machine learning, modeling, study design, statistics and probabilityProjects:Betcha Can't Guess What I Watched: An Obscure Movie Recommender▪ Created an obscure movie recommender utilizing TMDb data▪ Explored and defined the meaning of obscurity in the context of the project▪ Produced a user-facing prototype simulating the recommendation system in action▪ Suggested further steps that could be taken to improve upon the projectTech: Conda | Git | Jupyter | Python - tmdbv3api, scikit-learn, NLTK, GensimLyrical Clusters▪ Employed topic modeling and clustering methods to group songs by their lyrics▪ Processed over 350,000 songs to get them in a proper format for text analysis by means of tokenization, lemmatization, and part of speech tagging▪ Extracted topics and reduced dimensions from the data using LSA, LDA and NMF▪ Inspected and explored the perceived topics traced by the various topic modeling techniques▪ Clustered different songs based on their latent topic distributions and visualized the results using t-SNE and word cloudsTech: Conda | Git | Jupyter | Python - langdetect, profanity-check, NLTK, regex, Spacy, Gensim, pyLDAvis, wordcloudNBA Game Predictions▪ Implemented supervised learning techniques on NBA data to predict winning teams▪ Aggregated, cleaned and explored historical NBA game data and NBA betting data spanning 6 seasons of play▪ Learned and utilized the Python nba_api▪ Created and optimized various models using GridSearchCV (from logistic regression to XGBoost)▪ Selected the best model based on compute time and performance then tested it on the holdoutTech: Git | Jupyter | Python - scikit-learn, XGBoost, nba-api

▪ Led, coordinated and trained a diverse team in providing extraordinary care and service to customers and patients in a fast-paced and high foot traffic location▪ Tracked and created daily, weekly, monthly and quarterly goals concerning sales, loss, quality assurance, inventory management, employee training and team engagement▪ Disseminated and delegated appropriate information, tasks, and projects to the team in correspondence with store leadership on best practices, metrics, and operations

▪ Performed and delegated tasks with my team in conjunction with leadership directives▪ Maintained various reporting policies, procedures and forms for deliveries of products, waste records, and quality assurance▪ Trained and coached team members on best practices, operations, and company policies▪ Presented and attended weekly pulse meetings in pursuance of exceeding store goals for employee engagement and team training

▪ Offered and communicated effective and friendly customer service, at all times, with a smile▪ Operated cash registers for customer transactions with accuracy, speed and precision▪ Collaborated with team members to merchandise products, manage inventory, and conduct department resets

▪ Served and supported students and staff with administrative and clerical tasks▪ Handled confidential information regarding students▪ Input and organized database information using TutorTrac software▪ Completed any special projects administered by CLA staff

▪ Engaged with students and tutors by monitoring the tutoring area during evening hours to fortify and maintain a peaceful and quiet learning environment▪ Implemented administrative technological support, data entry and organization using TutorTrac software