Mar 2026 – Present · 1 mo · On-site

Jun 2025 – Jan 2026 · 7 mos · On-site

• Collaborated as part of a 7-member core team to launch Retail Connect, MathCo’s first community initiative focused on the retail industry.
• Played a key role in organizing and coordinating training sessions, webinars, and community events, enhancing knowledge sharing and engagement among members.
• Authored and published retail-focused thought leadership articles for both MathCo and the Retail Connect Community, contributing to industry knowledge and community growth.
• Read my articles here:
• Marketing Analytics: https://mathco.com/article/why-marketing-analytics-matters-in-retail/
• Market Intelligence: https://mathco.com/casestudies/unlocking-competitive-advantage-with-market-share-intelligence/
• Market Share Analytics: https://mathco.com/article/seeing-beyond-the-numbers-market-share-analytics-in-action/

Jul 2024 – Feb 2026 · 1 yr 7 mos · On-site

• Led a team of 3 data scientists, providing hands-on training and mentorship while ensuring high delivery standards and project quality
• Managed requirement gathering, task delegation, and communication with international clients to align technical deliverables with business goals
• Collaborated cross-functionally with multiple teams, translating business requirements into technical tasks and ensuring timely project execution
• Mentored and upskilled a group of 4 entry-level data scientists, preparing them for successful, independent delivery and long-term growth in their roles

Dec 2022 – Jun 2024 · 1 yr 6 mos · On-site

• Part of the Customer Insights & Strategy team at a leading global retailer in the US, conducting market analysis and evaluating market size, growth trends, and competitive landscape to assess business performance across multiple distribution channels and product hierarchies
• Developed data pipelines and executive dashboards for the retailer and its key competitors, supporting multiple business hierarchies with actionable insights across the organization
• Designed and implemented an automated model training and deployment pipeline, reducing delivery errors and computation time by 40%
• Optimized existing pipeline processes, resulting in a 50% reduction in overall computation time
• Managed full project lifecycle including business requirement gathering, data acquisition, analysis, code reviews, dashboard development, testing, version control, and final delivery within Agile frameworks
• Identified and addressed data quality issues, recommending enhancements that reduced rework and improved overall delivery efficiency