Nov 2024 – Present · 1 yr 4 mos

• Ensured reliable execution of a complex constraint-resolution process by identifying and fixing inconsistencies, maintaining data accuracy and continuity under tight timelines.
• Partnered with senior leadership and engineering teams to deliver a price optimization solution for a $500M beverage portfolio, leading stakeholder communications, translating business needs into technical execution, and overseeing optimization runs and experiment reviews.
• Developed an original statistical framework using coefficient of variation and cross-product correlations to assess data sufficiency and interdependencies before elasticity modeling, improving robustness and interpretability of results.
• Led a cross-functional initiative for an automotive client to operationalize a price elasticity framework, managing a Data Scientist and coordinating with a Data Engineer to establish the data infrastructure and MLOps flow.
• Extended and implemented the coefficient of variation methodology to identify elasticity feasibility and supervised the deployment of surrogate elasticity models for product segments.
• Structured and co-led a repeatable training program on the firm’s price optimization solution for a 30-member cohort, collaborating with two peers who owned individual modules to deliver a cohesive, scalable capability-building initiative.
• Showcased product demos to executive leadership and GCC representatives, highlighting the firm’s price optimization capabilities and reinforcing the group’s technical and analytical credibility.

Jun 2022 – Present · 3 yrs 9 mos

• Led and managed a team of 8 data scientists, ensuring the delivery of high-quality work, providing valuable insights, and promptly addressing any client concerns related to work quality.
• Developed a new feature for the client, enhancing the capabilities of the original non-linear optimization model. This expansion allowed the model to handle online market campaigns effectively. The business actively reviewed model results, enabling them to drive their social media strategies and generate significant value, estimated at $1-$2 million dollars per brand.
• Collaborated in project management for a team of data scientists working on a Knowledge Graph solution, contributing to the successful execution and delivery of the project.
• Designed and implemented a feature that provided recommendations for new documents, ensuring a close match with existing documents in the system, enhancing overall efficiency and productivity.
• Assisted in the creation and evaluation of implementation strategies for Generative AI, delivering innovative solutions to meet the client's requirements and objectives.

Feb 2020 – May 2022 · 2 yrs 3 mos

• Led and directed a team of 2 analysts in developing a crucial feature for a data science product, enabling the accurate classification of diverse client documents into their appropriate categories.
• Developed a feature that highlighted essential criteria within the data and collaborated closely with a Subject Matter Expert (SME) to ensure that the generated regex rules aligned perfectly with the business objectives.
• Designed and implemented a comprehensive dashboard to analyze the loss ratio for various policies at an insurance company, providing valuable insights for decision-making and risk assessment.
• Successfully created a predictive model to analyze and assess the risk of individual insurance policies, resulting in the efficient categorization of policies based on their overall risk profiles.
• Provided expert guidance and subject matter expertise on a specific functionality of a non-linear optimization model tailored for pharmaceutical sales management, contributing to the project's successful outcome.
• Designed and implemented a feature that successfully captured and addressed 3-5% of unique situations that were impacting model recommendations.
• Optimized data processing speeds by almost 40% by upgrading Python code to Pyspark, significantly improving overall efficiency and performance.