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emmanuel arthur

@emmanuelarthur1

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Entry-level Data Analyst skilled in Python, SQL, and Power BI.

Ghana

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What I'm looking for

I seek a role that fosters collaboration and allows me to leverage data analytics for impactful solutions.

As an entry-level Data Analyst, I specialize in transforming raw data into actionable insights, particularly in the realms of sustainable development and public health. My expertise in Python, SQL, and Power BI has enabled me to successfully lead projects that optimize water infrastructure, correlate crime data, and model agricultural yields. I pride myself on my ability to combine technical skills with a collaborative approach, ensuring that my work drives measurable impact.

One of my notable projects involved optimizing water infrastructure through data integration, where I compiled various datasets to reduce errors by 30% and designed Power BI dashboards that revealed critical insights about water access in rural areas. My analytical skills were further demonstrated in an academic project where I accurately predicted agricultural yields, providing recommendations that could significantly boost productivity in arid regions. I am committed to using data analytics to address pressing global challenges and improve lives.

Experience

Work history, roles, and key accomplishments

course work

ALX Africa

May 2024 - Jun 2024 (1 month)

Worked on water infrastructure optimization projects, integrating data from various sources to reduce errors and automate workflows. Designed dashboards to visualize water access issues and proposed solutions that significantly improved service delivery.

Python SQL Power BI Data Cleaning Dashboard Design Budget Management

Data Analyst

Course Work

Mar 2023 - Apr 2023 (1 month)

Conducted analysis of global water access trends to support SDG 6 reporting. Automated data validation processes and highlighted significant disparities in water access between rural and urban areas.

Data Processing Google Sheets Data Validation Statistical Analysis

Data Analyst

Academic Project

Feb 2023 - Mar 2023 (1 month)

Developed a predictive model for agricultural yields using Python, analyzing environmental factors to enhance crop production in arid regions. Achieved high accuracy in yield predictions and provided actionable recommendations.

Python Data Analysis Crop Yield Simulation