Open to opportunities

Viraj Viraj

@virajviraj1

Message

I lead data analytics for pricing and revenue, translating business ambiguity into KPI dashboards.

Zimbabwe

Message

What I'm looking for

I’m looking to lead analytics teams delivering executive-ready pricing, revenue, and forecasting dashboards—own end-to-end delivery, mentor analysts, and partner with stakeholders to turn complex data into faster decisions.

I’m a data analytics leader with 4+ years owning end-to-end pricing and revenue reporting, and I currently lead a team of 3 analysts at UPS. I mentor analysts on SQL and Power BI best practices while ensuring our dashboards and KPI frameworks directly shape business decisions.

At UPS, I’ve improved pricing decision turnaround time by 5–7% by uncovering pricing inefficiencies through SQL and Power BI trend analysis. I drive data validation and reconciliation across multiple systems, reducing data discrepancies by 20–25% and strengthening reporting reliability for leadership and stakeholders.

Earlier in my career, I worked as a Data Scientist and Analyst across forecasting, fraud detection, engagement analysis, and analytics workflow improvements—using time-series forecasting, network-based analytics, and classification/NLP methods. I’m at my best when partnering with cross-functional teams to convert ambiguous requirements into structured, executive-ready analytics.

Experience

Work history, roles, and key accomplishments

Current

Sr Marketing Strategy Analyst/Asst

Current

UPS Inc

Jun 2025 - Present (1 year 1 month)

Led and mentored a team of 3 analysts, coaching on SQL and Power BI best practices for pricing and revenue reporting. Owned end-to-end pricing and revenue reporting, improving reporting reliability and reducing manual reporting effort.

Team Leadership SQL Power BI Data Validation Data Reconciliation Dashboard Design Stakeholder Management Databricks

Data Scientist

Cybershrey LLC

Jul 2024 - Jun 2025 (11 months)

Performed global market and liquidity time-series forecasting to support treasury and operations decision-making, and contributed to fraud detection using network-based analytical techniques. Conducted user engagement analysis for personalized financial product recommendations and helped improve data retrieval performance for downstream reporting.

Time Series Analysis Predictive Analysis Network Analysis Fraud Detection User Engagement Stakeholder Management

Data Scientist Contractor

Awoit System Inc

Apr 2024 - Jun 2024 (2 months)

Analyzed enterprise server performance to identify reliability risks and root causes, reducing critical incident response times and improving uptime. Built classification and auto-tagging from email communication patterns and supported drift detection and AI ethics review for deployed solutions.

Root Cause Analysis BI Workflow Data Classification Tagging AI Ethics Fairness Accountability Transparency

Data Analyst

Mangalya Advisors

Jul 2023 - Mar 2024 (8 months)

Built a customer lifetime value (CLV) predictive model to improve retention and marketing ROI. Conducted customer segmentation with K-Means clustering and developed a text classification framework for faster deal evaluations.

Predictive Analytics Customer Segmentation NLP Data Analysis