Aug 2021 – May 2024 · 2 yrs 9 mos · Louisville, KY · Remote

• At Humana, I built the visual analytics capabilities that connected health insurance operations to executive decision-making across claims, member services, pharmacy benefits, and provider performance. I partnered with actuarial teams, clinical analysts, and benefits administrators to understand how data needed to move from raw operational records into meaningful performance narratives , covering everything from claims adjudication trends and member eligibility to risk adjustment scoring and plan-level quality outcomes. A meaningful part of my work involved meeting the regulatory precision that healthcare reporting demands: validating patient identifiers, maintaining referential integrity across enrollment data, and producing quality measure reporting aligned with federal program requirements.
• I led discovery sessions, authored requirement specifications, and ensured every deliverable was built to withstand both internal scrutiny and external audit , while remaining genuinely usable by the clinical and finance stakeholders who depended on it daily.

Oct 2018 – Jul 2021 · 2 yrs 9 mos · Mooresville, NC · Hybrid

• At Lowe's, I built the analytics layer that gave merchandising, supply chain, and finance leadership real visibility into how the business was actually performing — from store-level sales trends and inventory health to customer behavior and supply chain throughput. I worked closely with cross-functional teams to translate operational questions into structured dashboards and reports, facilitating discovery sessions that connected business priorities to measurable outcomes. Beyond standard reporting, I developed advanced customer segmentation and demand forecasting analytics that helped merchandising teams identify high-value customer cohorts, optimize inventory positioning, and reduce stockout risk across regional clusters. Every deliverable was grounded in rigorous data validation to ensure the numbers executives saw matched the underlying reality — and all reporting was built to satisfy the financial and data privacy compliance standards governing a large publicly traded retailer.

Dec 2016 – Sep 2018 · 1 yr 9 mos · Rochester, NY · On-site

• At Paychex, I developed the workforce and financial analytics that HR and Finance leadership used to understand their people, costs, and organizational health. My work covered employee attrition forecasting, compensation benchmarking, talent retention analysis, budget variance tracking, and benefits utilization — translating sensitive people-data into actionable narratives that informed strategic planning at the executive level. I collaborated closely with HR business partners and finance teams to understand what questions mattered most, then built dashboards that answered those questions in formats accessible to non-analytical stakeholders. Protecting the integrity and confidentiality of employee data was central to everything I delivered, and all reporting was built to comply with the financial and privacy regulations governing payroll and benefits operations. The engagement sharpened my ability to work in an environment where the data itself — compensation figures, personal records, financial projections — carries high organizational sensitivity.

May 2015 – Oct 2016 · 1 yr 5 mos · Mumbai · On-site

• My work at Ceva Logistics was foundational — building and validating the data pipelines that made downstream analytics possible across a complex multi-channel logistics operation. I was responsible for integrating e-commerce, inventory, and customer data from a wide range of source systems into a unified processing environment, ensuring that product catalog updates, order records, and shipment data arrived accurately, on schedule, and in a form that warehouse, web, and analytics teams could rely on. I designed incremental processing patterns to handle large transaction volumes efficiently, implemented automated validation frameworks to catch quality issues before they propagated downstream, and established access controls that protected sensitive customer and supplier data throughout the pipeline. This engagement grounded me in the discipline of data quality — an understanding that the reliability of any analytical output depends entirely on the rigor of what happens before the data reaches a dashboard.