Open to opportunities

Mark Adu

@markadu

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Results-driven MSc Data Science student seeking impactful internship opportunities.

France

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What I'm looking for

I am looking for a collaborative environment where I can grow my data analytics skills and contribute to meaningful projects.

I am a results-driven MSc Data Science student with hands-on experience in transforming complex datasets into actionable business insights. My journey has been marked by a proven track record of delivering measurable impact through analytics, predictive modeling, and automated dashboard solutions. I am actively seeking a 6-month data-focused internship starting July 2025, where I can leverage my advanced technical expertise and problem-solving mindset to drive impactful data-driven projects within forward-thinking organizations.

During my tenure as a Business and Data Analyst at Ateasefour Group of Companies, I increased sales visibility by 40% through comprehensive Power BI dashboards and improved team productivity by 25% via performance tracking dashboards. My internship at Sonatrach allowed me to reduce reporting time by 60% through automated ETL script development and build KPI dashboards that enhanced operational efficiency. I am passionate about using data to influence strategic decisions and am excited to bring my skills to a new team.

Experience

Work history, roles, and key accomplishments

Business and Data Analyst

Ateasefour Group of Companies

Aug 2023 - Present (1 year 11 months)

Increased sales visibility by 40 percent through comprehensive Power BI dashboards monitoring product performance across 5 product lines. Improved team productivity by 25 percent via performance tracking dashboards for 18 team members.

Power BI SQL Python Data Analysis Strategic Planning

Data Intern

Sonatrach

Feb 2023 - Present (2 years 5 months)

Reduced reporting time by 60 percent through automated ETL script development using Python and SQL. Built 8 KPI dashboards tracking performance metrics. Automated data preparation processes reducing manual work by 20 hours per week.

Python SQL ETL KPIs Data Automation

Education

Degrees, certifications, and relevant coursework

EPITA - School of Engineering and Computer Science

MSc in Data Science and Analytics, Data Science and Analytics

Currently pursuing a Master of Science in Data Science and Analytics, focusing on advanced data analysis, machine learning, and predictive modeling. Gaining hands-on experience in transforming complex datasets into actionable business insights.

USTHB - University of Science and Technology

MSc in Applied Mathematics, Applied Mathematics

Completed a Master of Science in Applied Mathematics, developing a strong foundation in mathematical principles and their applications. Acquired comprehensive knowledge in quantitative analysis and problem-solving techniques.