Data Science & AI | Machine Learning | Digital Transformation

• Lead digital-transformation initiatives within Global Process Transformation (GPT), working closely with technology teams to implement digital solutions across Citi's global payroll operations.
• Contact and coordinate with external vendors and suppliers to gather and define Workday integration requirements, aligning technical specifications with payroll process needs.
• Advise payroll managers on payroll process transformation for assigned clusters/countries, and serve as owner or GPS Leadership representative on project and meeting calls.
• Support the global initiative to automate payroll controls and migrate to the Process Control Tool (PCT), ensuring Global Payroll SOPs and Process Control Manuals are followed for assigned countries.
• Design enterprise Tableau dashboards to assess and monitor the reasonableness of key performance indicators and identify strategic improvement opportunities.
• Apply the Stylus Workspace AI Suite, building custom presets and prompt-engineering workflows to automate payroll process validations and reduce manual review cycles.
• Partner with Payroll Operations, Payroll Accounting, and Payroll Tax to identify digital automation and standardization opportunities and define required business specifications, driving productivity savings and reduced risk.
• Manage and deliver assigned projects and Global Process Transformation team deliverables, driving results for global strategic priorities.
• Provide training sessions on global payroll processes to payroll staff and managers; mentor non-senior and senior analysts on data practices and dashboard development.

• Teach graduate-level courses: Data Analytics & Business Strategies, and Data-Driven Decision Making.
• Mentor cohorts of business executives on machine learning, BI strategy, and applied analytics.
• Design case studies and assessment frameworks for applied analytics projects

• Built a Gradient Boosting model (Fast Track Contract Builder) to predict contract profitability, powering a contract-building tool that keeps agreements financially sound.
• Developed an NLP transaction classifier to improve transaction tracking and pricing-analytics transparency.
• Engineered ETL pipelines with Alteryx, Python, MySQL, and Redshift to consolidate complex datasets, and automated Tableau dashboards visualizing key financial metrics for senior leadership.

• Built an end-to-end ML website classifier (data gathering, cleaning, feature engineering, classification, and model training) that identified and classified e-commerce websites at scale, powering go-to-market targeting for a security/fraud-prevention product.
• Developed ARIMA forecasting models to project enabled revenue in the lead-to-contract department.
• Automated reporting and dashboards; mentored junior and senior team members on analytics best practices and automation workflows.

• Optimized price-suggestion models per the strategy team's vision; migrated ETL flows from Alteryx to Dataiku and built workflows for analysis and ad-hoc reporting.
• Developed Power BI dashboards for category-performance monitoring; served as superuser and contact point for software-development proposals and solutions.
• Performed geospatial competitor analysis using Python (DBSCAN and GeoPandas) to redefine competition areas by cluster.

• Delivered C# programming, design, and development of custom functions, and implemented the Electronic Data Capture (EDC) system (Medidata Rave) to collect and report clinical study data.

Responsible for datacenter care and multivendor support solution development — costing, proposition, integration, and business-case alignment of HPE solutions supporting enterprise IT environments.

• Maintained the printer fleet of assigned Direct Managed Print Services (dMPS) customers in excellent technical condition by analyzing printer health, managing configurations, delivering proactive services, and diagnosing and resolving complex hardware and software issues.
• Built and presented an operational analytics dashboard consolidating fleet health and service metrics across multiple dMPS accounts, giving stakeholders a single view of printer status and enabling proactive, data-driven decisions.
• Automated the deployment and configuration of security solutions across managed device fleets using Python, standardizing rollouts and reducing manual configuration effort.

Provided Kindle technical support including data mining, special handling, customer service, and LIT chat support.