Cambridge, Massachusetts, United States
Experienced professional with strengths in data analytics, project management and business development. • Harness the potential of big data to make more optimal and informed business decisions • Oversee and direct cross-functional teams to manage projects smoothly • Understand business needs to develop new solutions/products to drive growth
• Led enterprise-level customer- and account-targeting initiatives from ideation through execution, delivering 2026-ready targeting solutions despite complex data gaps, evolving business rules, and aggressive timelines. • Drove end-to-end commercial analytics support for high-visibility Q4 initiatives, developing real-time performance tracking and post-period insights that informed leadership decisions and 2026 forecasting. • Modernized the analytics operating approach by transitioning from manual workflows to scalable, standardized Databricks solutions, improving reproducibility, speed, and analytical rigor. • Established clear stakeholder engagement approaches and coached team members to shift from ad hoc data requests to strategic analytical partnerships, improving prioritization, efficiency, and team sustainability.
• Led the analytical effort to reduce the significant backlog of a major delivery platform, bringing the critical on-time metric back to +90% from the low of 60% by identifying root causes, providing workforce-allocation plans and predictive inventory models, and forecasting operations bottlenecks • Spearheaded an initiative to consolidate four cross-departmental resource models and designed a data infrastructure and flow to create a fully automated and integrated resource model • Lead a monthly review of operations metrics to ensure compliance and facilitate ad-hoc discussions • Own the on-time processing metric and be the point of contact for its communication and analyses to management and internal business partners
• Developed multiple leading and lagging indicators dashboards allowing managers to keep tabs on the organization's operations health and take timely actions • Performed statistical analyses to investigate quality excursion events, monitored in-progress actions, and provided recommendations to restore the metric level • Designed a time-series model to forecast the incoming volume of 10 major products
• Extracted, transformed, and aggregated data from medication dispense, copay claims, adherence engagement, and real-world data to construct the patient journey • Evaluated drivers of medication adherence on the patient journey, performed statistical tests and regressions to verify relationships, and recommended three actions to improve adherence • Employed regularization regressions and extreme gradient boosting to predict long-term medication adherence based on early intake patterns • Performed feature engineering by applying inventory management theory on medication dispense to improve predictive capability from 30% accuracy to 80% accuracy • Visualized and communicated insights to essential stakeholders using Spotfire
• Analyzed data from databases of electronic health records with up to 130m records of all Norwegian residents spanning ten+ years • Developed an original econometrics technique in causal analysis to isolate the effects of travel distance on healthcare utilization • Implemented the designed approach to conclude that a 10% increase in travel distance causes a reduction of 1.3-2.2% in healthcare utilization
• Secured the then-largest contract in the history of the division through simultaneously coordinating local and regional teams of Nielsen and of the client, aligning objectives and obtaining funding, and devising a new data collection approach to save 20% on operations cost • Acquired new businesses from 7 clients, contributing to 30% of the division’s 2016 revenue target • Developed 1 new solution tailored towards mid-size clients, resulting in the purchase of services from 2 new mid-size clients • Developed 2 new solutions for non-CPG clients, leading to the first purchase of service from an animal health client and a repurchase of service from a media client
• Supervised cross-functional teams, balance client’s requests and operational risks, and monitor project deliveries to manage an average of seven active projects for four clients, driving 20% of division revenue • Analyzed various store-level databases of up to 300k+ stores to deliver insightful recommendations, improving sales execution, streamlining product launches, and closing product distribution gaps • Improved profit margins to 20% for new projects (a 300% increase compared to the previous projects’ profit margin) by negotiating with clients • Acquire 1 new client through collaborating with another research department • Coached and guided 1 junior associate, enabling him to manage 1 major client independently
• Examined data of 2,200+ US SKUs and recommended to demand planners key drivers for inventory, reversing rising inventory levels to a three-month low while maintaining service levels • Analyzed data and created various trackers to streamline business processes for demand planners of all brands
• Exceeded all KPIs for supervising marketing executions of 18 “power brands” in 36 Walmart Supercenters through negotiating and building relationships with key stakeholders • Initiated a weekly report presenting the valuable best practices in retail resulting the change in Mucinex’s POS promotion