- Partner with key technology and business stakeholders to identify value-add opportunities for data science in their projects- Assist in prioritizing data science work based on effort, complexity, and the value-proposition of the deliverables- Provide thought-leadership and mentorship across the Data Science organization

- Leveraged machine learning algorithms to forecast sales volume- Implemented a new modeling approach that improved model performance and conformed to business requirements- Redesigned the deployment of our models to meet changing business needs be more cost-effective- Introduced Sphinx documentation to ensure our project can be maintained into the future- Worked with stakeholders to understand the real-world mechanisms involved in the business problem we wanted to model, allowing for a simplified and more efficient modeling approach- Partnered closely with Machine Learning Engineers to enable project pipeline orchestration and automation- Developed novel model evaluation logic to ensure data science models achieved or exceeded key performance metric thresholds- Assisted Product Owner in scoping out new data science work and creating timelines that could be communicated to stakeholders- Provided mentoring to other data scientists on the team to help them grow in their abilities and confidence

- Built models to identify the biggest drivers of incremental sales during promotions- Streamlined existing processes to increase the efficiency of refreshing the models and reduce the time to iteration- Orchestrated the various steps of the modeling pipeline to make the code more maintainable and require fewer manual touches

Moving established on-premise model pipelines and APIs to the cloud. Increasing efficiency and productivity by taking advantage of distributed computing via Spark and Dask. Utilizing natural language processing models to provide analysis of medical charts to various business stakeholders.

As a Data Scientist, I designed and developed an end-to-end modeling framework for disease prediction. I helped to establish best practices for our project's GitHub repository, including adopting PEP-8 Python coding standards and documenting our project's code using Sphinx. As a thought leader, I pioneered our team's use of clinical data and re-imagined our workflow to become more efficient.

- Gained a working understanding of commonly used machine learning methods through Data Science University program- Became well versed in all aspects of data science, including data cleaning, feature engineering, and model training and evaluation

• Mentored 40 students by providing leadership and guidance on issues ranging from time management to personal well-being• Managed a budget to plan, coordinate, and execute development events for residents

• Managed and led a group of 24 peers by directing students on projects, prioritizing and assigning tasks, and delegating responsibilities when appropriate• Scheduled workers’ shifts ensuring that all office duties were assigned and completed, while being flexible to account for students’ requests and unforeseen circumstances• Provided leadership by being fully aware of all goals, policies, and procedures of both the Admissions Office and the college

• Acted as a college representative to answer questions about all aspects of the college in meetings with students and their families• Balanced students’ various interests and requests while constructing and fine-tuning schedules for visits to the college

• Executed quick, efficient, and clear decision-making to address customers’ concerns, explain store policies, and correct mistakes when appropriate• Possessed a deep and thorough understanding about store operations and departmental services in order to direct customers to their desired products and services• Efficiently completed customers’ requests and transactions while complying with store, state, and federal policies and regulations