Data Analyst Intern

Agabus Okyere

**** ******* ******** ******

Triangle, VA, 22172

************@*****.*** 703-***-****

Professional Summary

Motivated and detail-oriented Data Analyst Intern with experience analyzing complex datasets to drive insights and support business decisions. Skilled in SQL, data visualization, and statistical analysis. Passionate about improving healthcare outcomes and reducing costs through data- driven solutions. Adept at collaborating with cross-functional teams to design and implement process enhancements.

Technical Skills

Data Analysis Tools: SQL, Python, R

Data Visualization: Tableau, Power BI, Excel

Statistical Techniques: Data Modeling, Trend Analysis, Root-Cause Analysis

Databases: MySQL, PostgreSQL

Other Skills: Data Cleaning, Process Automation, Reporting Education

Bachelor of Science in Chemistry

Virginia Commonwealth University, Richmond, VA

December 2020

Relevant Coursework:

Data Analytics and Visualization

Statistical Methods in Healthcare

Database Management

Machine Learning for Health Applications

Internship Experience

Data Analyst Intern

Walmart, Alexandria, VA

March, 2021 – September, 2021

Analyzed integrated datasets from healthcare providers, patients, and third-party sources to uncover actionable insights.

Performed root-cause analysis on data irregularities, presenting findings and proposed solutions to leadership.

Utilized SQL to query large databases, ensuring accurate data extraction and reporting.

Collaborated with cross-functional teams to identify opportunities for automation and process improvements, leading to enhanced efficiency.

Designed and implemented dashboards in Tableau and Power BI to visually communicate key metrics to non-technical stakeholders.

Supported testing and implementation of data-driven projects under targeted timelines with limited supervision.

Healthcare Data Intern

Inova Hospital, Fairfax, VA

April, 2022 – December 2022

Conducted trend analysis on patient data to identify patterns impacting clinical outcomes.

Assisted in developing predictive models using Python to forecast healthcare costs and patient risks.

Participated in team meetings to discuss data insights and their implications for cost reduction strategies.

Managed multiple tasks related to data review and reporting, ensuring deliverables were met within deadlines.

Projects

Predictive Modeling of Healthcare Costs

Developed a Python-based model to predict patient care costs using historical data and machine learning techniques.

Improved prediction accuracy by 15% through feature engineering and hyper-parameter tuning.

Visualization of Patient Outcomes

Designed an interactive Tableau dashboard to track clinical outcomes across healthcare providers, enabling stakeholders to monitor key performance indicators. Certifications

Python for Data Analysis – Coursera

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