Lawrence Pemberton

Data Analyst with internship experience applying Python, R, SQL, and Tableau to clean and standardize datasets, perform timeseries demand analysis, and identify inventory inefficiencies. Translates customer and installation data into actionable insights to reduce over-ordering and support forecasting. Seeking an entry-level analytics role focused on data-driven process improvement.

Data Analyst Intern at Modern Energy (2025-09 – 2025-12)

• Improved reporting accuracy by cleaning and standardizing 1,000+ customer records using Python and Excel
• Analyzed HVAC inventory demand trends to identify slow-moving stock and reduce over-ordering
• Built time-series forecasting analyses to support seasonal procurement planning for HVAC equipment
• Identified service-installation purchasing patterns that informed bundled sales and forecasting decisions

Bachelor of Science in Data Analytics – Bentley University (2022-08 – 2026-05)

Course in Machine Learning Using Python – Bentley University (2026-01 – 2026-05)

Course in Database Management Using SQL – Bentley University (2025-01 – 2025-05)

Course in Data Science Using Python – Bentley University (2024-09 – 2024-12)

Course in Data Visualization Using Power BI/Tableau – Bentley University (2024-09 – 2024-12)