Open to opportunities

Gaius Inofe Dan

@gaiusinofedan

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Detail-oriented data analyst skilled in visualization and machine learning.

Nigeria

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What I'm looking for

I am looking for a role that fosters collaboration, encourages continuous learning, and allows me to leverage my analytical skills to drive impactful decisions.

I am a detail-oriented and analytical Data Analyst with hands-on experience in data wrangling, visualization, and predictive modeling. My expertise has been honed through rigorous programs such as the Google Advanced Data Analytics Certificate and WorldQuant University’s Applied Data Science Lab. I excel in translating raw data into actionable insights, utilizing tools like SQL, Excel, Power BI, and Python.

During my internship at Esemie, I analyzed large datasets from various sources, generating internal reports and dashboards to track marketing KPIs and ad performance. My collaborative approach with marketing and product teams has led to improved ad targeting and ROI. I am eager to contribute to data-driven decision-making in a collaborative, remote environment.

Experience

Work history, roles, and key accomplishments

Data Analyst Intern

Esemie

Oct 2024 - Apr 2025 (6 months)

Analyzed large datasets from Google Ads, Meta Ads, and GA4 using SQL in AWS Athena to identify performance patterns and optimization opportunities. Generated weekly reports and dashboards with Power BI and Excel to track marketing KPIs and user acquisition. Collaborated with marketing and product teams to translate data insights into strategic decisions, improving ad targeting and ROI.

SQL Power BI Excel Google Ads Meta Ads GA4 Data Wrangling Marketing Analytics

Education

Degrees, certifications, and relevant coursework

Coursera Google Career Certificates

Professional Certificate, Advanced Data Analytics

Completed the Google Advanced Data Analytics Professional Certificate, gaining expertise in data analysis, visualization, and predictive modeling.

World Quant University

Data Lab Program, Data Science

Completed the World Quant University Data Lab Program, gaining expertise in data analysis, statistical modeling, and machine learning using Python to solve business and financial problems.