• Manage 5 dashboards tracking R&D, packaging and safety processes to provide visibility into pre-production operations of a cosmetics giant, collaborating with multiple business & IT stakeholders• Develop MLOps offering to detect, monitor & notify drift in deployed models, as part of AI product development

Product Marketing Generated commercial insights to market products for the global sales team of a leading Travel & Expense management companySales Targeting Identified target companies to boost the adoption of product similar to the flagship product of a leading Travel & Expense management companyChannel Attribution Modeling Computed revenue contribution of multiple digital marketing channels using Markov ChainAutomatic Room Assignment Optimization Optimized room allocation to resort guests based on preferences through branch-and-cut linear programming, for global leaders in Theme Parks & ResortsHotSOS Predicted specific service orders of guests, thereby minimizing housekeeping utilization and boosting customer satisfaction, by employing ensemble machine learning algorithm

CSAT Target Setting (Customer Satisfaction)- Enabled clients in setting realizable and aggressive NPS (Net Promoter Score) goals for FY18- Employed clustering, forecasting and mathematical saturation curve fit technique to recommend a +1 to 1.5 point increment in chain wide targetCentralization (Customer Care Operations)- Devised a Test Control experiment to validate the effectiveness of call center operations across various cohorts of pharmacy sales- Measured the performance of pilot stores by inquisitive analysis on KPIs like Retention, Script growth, Gross Profit, NPS, Call Performance metrics, etc.- Established the efficacy of centralization through ~ 2% lift in pharmacy sales for high volume pilot stores, resulting in an annual increase in gross profitVoice of Customer- Identified the moments of truth/interactions/touch points of customers with business to highlight customer pain points- Aggregated and analyzed the data from multiple data sources like complaints, surveys, transaction details, customer profile, social media, etc. to generate new actionable insights like unoptimized order cycle and lack of awareness about coupon policies, with a monthly cadence which was presented to the Executive Operating Committee (EOC)Call Center Routing Optimization (Cost Optimization)- Minimized call center costs by optimizing routing to call centers for specific time intervals which necessarily need support (during high in store traffic and/or high call traffic)- Optimization of call center routing reduced operating costs significantly across > 200 centralized (call center support) stores in South Florida