Open to opportunities

Kwabena Boadu Boadu

@kwabenaboaduboadu

Data Analyst and data visualization engineer specializing in SQL, Python, and predictive analytics to turn insights into action.

United States

Message

What I'm looking for

I’m looking for a role where I can build SQL/Python analytics and interactive dashboards, apply predictive modeling, and collaborate cross-functionally to improve business decisions with clean, secure data.

I’m a detail-oriented Data Analyst with 4+ years of experience translating complex datasets into clear, actionable insights. At Caterpillar, I extracted, cleaned, and analyzed large sales and marketing datasets with SQL and Python, built KPI-ready SQL metrics, and delivered interactive Power BI dashboards for executive reporting.

I also bring strong modeling and automation experience, including predictive analytics to identify key drivers in sales and operations. At Abbvie, I improved claims workflow outcomes by 18% through quantitative analysis and process improvements, implemented Power BI Row-Level Security for role-based access, and supported targeted improvements that increased customer satisfaction by 15%—while at Alliance Tek, I contributed to a 20% operational efficiency gain and drove 30% adoption of recommended improvements.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

Caterpillar

Jan 2024 - Present (2 years 5 months)

Extracted, cleaned, and analyzed sales, customer, product, and marketing datasets using SQL and Python, building KPI metrics and exploratory analyses to identify trends and opportunities. Developed interactive Power BI dashboards and applied predictive analytics with Azure/Databricks to support executive reporting and data-driven recommendations.

SQL Python (Pandas)Power BI KPI Reporting Predictive Analytics Azure Databricks

Data Analyst

AbbVie

Jun 2022 - Dec 2023 (1 year 6 months)

Analyzed healthcare claims and post-adjudication data using SQL and Power BI, resolving workflow inefficiencies and improving successful claim resolutions by 18%. Implemented real-time refreshes and Power BI Row-Level Security, created a data dictionary, and improved customer satisfaction by 15% through targeted analytics-driven enhancements.

SQL Power BI Data Normalization Claims Analytics Exploratory Analysis predictive modeling

Data Analyst

Alliance Tek

Oct 2021 - May 2022 (7 months)

Collected, cleaned, and maintained customer datasets, performing cluster analysis on 1K customers to improve marketing targeting. Built Excel/SQL and Tableau reports, communicating recommendations that increased adoption by 30% and improved operational efficiency by 20%.

SQL Excel Tableau Data Cleaning Data Integrity Clustering Reporting