Resume

Experience

2024-Present

Analyzed financial transaction datasets across multiple payment processors (20M+ records/month), implementing automated data validation frameworks that reduced reporting discrepancies by 20% and strengthened compliance reporting.
Built SQL- and Python-based forecasting models in Snowflake to predict transaction volumes and cash flow patterns with >90% accuracy; enabled proactive infrastructure scaling and improved financial risk management.
Partnered with finance, compliance, and marketing teams to standardize KPIs and derived metrics (approval rates, chargeback ratios, lifetime value), reducing reporting turnaround by 30% and improving audit transparency.
Designed Power BI executive dashboards tracking revenue trends, customer acquisition costs, and profitability metrics; presented insights weekly to leadership, directly influencing budgeting and strategic allocation.
Developed attribution models to evaluate campaign ROI and customer lifetime value, providing data-driven recommendations that optimized acquisition spend and improved lead quality.

2022-2023

Collected and analyzed circulation and digital usage data across 200 thousand items; identified high-demand resources, reduced shortages by 12%, and streamlined allocation across multiple library branches.
Designed Power Query models to automate resource tracking, improving demand forecasting accuracy and enabling proactive restocking decisions.
Assisted over 1,000 patrons daily, combining customer service with data-driven insights, optimizing user satisfaction.
Coordinated with a 5-member team to design, plan, and execute weekly student programs, improving engagement scores and fostering a collaborative library environment.

2021-2022

Built end-to-end Power BI dashboards and SQL reports for multinational clients, optimizing joins, subqueries, and blending pipelines across 10M rows of customer data; reduced manual reporting by 30%.
Designed Power BI dashboards and SQL pipelines across 10M+ rows of multinational client financial and marketing data, improving KPI accuracy by 15% and directly supporting client retention decisions.
Conducted financial data quality audits to reconcile discrepancies across currencies, identifiers, and corporate actions; improved accuracy of client-facing reports by 25%.
Partnered with stakeholders to redefine reporting structures and valuation metrics, enabling executives to monitor profitability, revenue attribution, and cost optimization in near real time.
Delivered client-ready data visualizations highlighting market performance, ROI, and revenue drivers, supporting strategic portfolio optimization decisions.

2020-2021

Developed Power BI dashboards for warehouse KPIs (inventory utilization, lead times, order fulfilment rates) covering more than 50,000 monthly transactions; reduced order delays by 10% through proactive insights.
Conducted demand forecasting models using 6 years of sales history; improved purchasing and stock planning strategies, reducing overstock and stockouts.
Automated ETL workflows by integrating datasets from PostgreSQL, SQL, and Python; reduced data processing cycles by 20% and improved accuracy of reporting pipelines.