Esther Ojinji

Data-driven student with strong skills in Python, SQL, and data visualisation. Experienced in cleaning and analysing datasets through academic projects. Eager to apply data analytics skills in renewable energy and technology sectors to support data-driven decisions.

ETL Integration and Azure SQL Database

• Designed and implemented an automated data pipeline using Azure Data Factory.
• Extracted data from multiple sources, transformed the data using data flows and loaded the processed data into an Azure SQL database and connected it to Azure data studio.

Accenture North America Data Analytics

• Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture.
• Cleaned, modelled and analyzed 7 datasets using Pandas and Tableau to uncover insights into content trends to inform strategic decisions.
• Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.

Energy Flow Dashboard

• Designed and built an interactive dashboard to analyze energy consumption, cost efficiency, and emissions.
• Compared renewable vs. non‑renewable energy usage, highlighting trends over time for multiple locations (Atlanta, Chicago, New York) and designed a dark‑themed UI with clear, modern charts using Power BI.

Hydroponics Automation System – Group Project

• Developed the web interface (HTML, CSS, JavaScript) for a Bluetooth-controlled hydroponic ebb‑and‑flow system.
• Integrated frontend with a Python backend via Flask for device control and monitoring.

Building Energy Management Systems (BEMS)– Academic Research

• Researched and presented how BEMS technologies optimize building energy use using sensors, data analytics, and automation.
• Explored regulations, sustainability impacts, and IoT-driven trends in energy efficiency.