Machine Learning Engineer - Analytics Enablement - Merck
(2024-08)
- Enhanced data science capabilities and drove Databricks platform adoption by developing representative machine learning POC solutions (demand forecasting, customer segmentation, churn survival analysis) to demonstrate value and expand the team's analytics portfolio.
- Defined and documented MLOps standards (MLflow experiments/registry, model versioning, reproducible pipelines) and authored runbooks/reference templates for team workflows.
- Collaborated with business and platform/architecture teams to explore data governance and AI tooling options, and facilitate discussions that guided use-case selection and platform adoption.
- Built and automated analysis pipelines using Spark, pandas, Delta Lake, and JDBC; implemented version control and Databricks Jobs/pipelines for reliable, scheduled delivery.
- Coordinated cross divisional AI+BI and quantum computing workshops to showcase emerging capabilities, increase awareness, and attract teams to leverage team's platform
- Mentored a junior team member and intern, providing analytical guidance, code reviews, and structured feedback.
IT Emerging Talent Rotation (ETR) Program - Merck
(2022-07 - 2024-08)
Rotated through three roles within Merck's IT organization over two years (outlined below)
- Developed matching algorithm for ETR rotation recommendations
- Conceived a weeklong upskilling program for future ETR cohorts—defined strategic curriculum topics, recruited instructors, and coordinated planning, and secured funding to establish it as an annual event.
Data Scientist (Image Analytics) - Merck Research Labs
(2024-01)
- Performed exploratory data analysis and hypothesis testing to evaluate and optimize image-processing pipelines for optical pooled screening.
- Developed quality metrics and visualizations to assess genotyping accuracy and pipeline performance.
- Implemented computational transformations to correct channel bleed-through in fluorescent microscopy images, improving interpretability and downstream analysis.
- Built a Streamlit application to surface results and visual outputs, enabling scientists to quickly assess findings without manual data extraction.
CTO HyperAutomation - Business Analyst - Merck
(2023-01)
- Led discovery of business and operational problems for automation and generative AI initiatives, working directly with internal stakeholders.
- Translated business needs into analytical and technical requirements, serving as a liaison between partner teams and development groups.
- Authored requirements documentation and recommended process improvements to improve intake clarity, prioritization, and delivery efficiency.
MRL IT - Data Analyst - Merck Research Labs
(2022-07)
- Developed analytical dashboards and visualizations in Qlik Sense to identify trends in project and operational performance.
- Created new data models linking disparate data sources to support future analysis and reporting.
- Wrote testing scripts to validate data accuracy and integration with enterprise platforms.
Data Scientist and Machine Learning Intern/Contractor - Merck
(2021-06 - 2022-07)
- Conducted exploratory analyses and validated NLP model outputs to ensure performance met stakeholder-defined thresholds.
- Built AWS-based workflows to automate model versioning and experimentation across markets.
- Mentored a junior intern on foundational machine learning concepts and analytical thinking.
