Carmelino Andre Neto
Windhoek
Summary
Data Analyst with proven internship experience, specializing in leveraging strong analytical skills and proficiency in Python and SQL. Developed algorithms for predictive modeling and crafted data visualization tools that enhanced business decision-making processes. Recognized for a consistent focus on improving efficiency and elevating the accuracy of reports. Aiming to contribute innovative solutions to drive data-driven strategies.
Overview
2
2
years of professional experience
1
1
Certificate
Work History
Data Analyst Virtual Intern
Victoria Solutions Consulting Group
London, UK
01.2025 - 03.2025
- Developed SQL queries to enhance data retrieval efficiency by 30% in six months, and conducted exploratory data analysis that improved decision-making by 25%.
- Used Python and R for data manipulation, reducing analysis time by 20%.
- Created data visualizations with Tableau and Power BI, improving the communication of results to non-technical audiences by 40%.
- Analyzed customer behavior using K-means clustering, increasing targeted marketing effectiveness by 15%.
Data Science Intern
Tata
Windhoek, Namibia
02.2025 - 02.2025
- Created graphs and charts detailing data analysis results.
- Conducted data analysis over three weeks to identify trends, achieving 85% accuracy.
- Prepared questions for the client meeting in two days.
- Created visuals that improved executive decision-making effectiveness by 20%.
- Developed graphs to present results within one week.
Data Analyst Virtual Intern
Quantium
Sydney, New South Wales,, Australia
01.2025 - 02.2025
- Completed a 2-month job simulation focused on data analytics and commercial insights for the data science team.
- Developed expertise in data preparation and customer analytics, leading to a 90% increase in actionable insights and recommendations.
- Identified benchmark stores, resulting in a 35% improvement in performance analysis.
- Created detailed reports for the Category Manager that enhanced strategic decision-making and commercial strategies by 20%.
Data Research Analyst
Getsmart@2U
Cape Town, South Africa
09.2022 - 09.2023
- Recommended data analysis tools, boosting productivity by 15% in the first quarter.
- Leveraged Excel for data analysis to provide accurate insights within two months.
- Analyzed financial statements and market trends over six months for strategic planning.
- Used Python scripts to extract and transform large data volumes, improving processing speed by 30%.
- Streamlined reporting procedures, cutting processing time by 20% in three months.
Education
Advanced Diploma in Financial Management - Financial Management
Regent Business School
Durban, South Africa06-2023
National Diploma in Entrepreneurship - Financial Management
Cape Peninsula University of Technology
Cape Town04-2021
Skills
- Skilled in Advanced Python Techniques
- Data wrangling
- Advanced Excel Functions
- R programming
- SQL databases
- Google Analytics Analysis Skills
- Experience with Spark Framework
- Data storytelling
- Experience with Tableau Software
- Data interpretation
Languages
Portuguese
First Language
English
Proficient (C2)
C2
Afrikaans
Elementary (A2)
A2
Timeline
Data Science Intern
Tata
02.2025 - 02.2025
Data Analyst Virtual Intern
Victoria Solutions Consulting Group
01.2025 - 03.2025
Data Analyst Virtual Intern
Quantium
01.2025 - 02.2025
Data Research Analyst
Getsmart@2U
09.2022 - 09.2023
Advanced Diploma in Financial Management - Financial Management
Regent Business School
National Diploma in Entrepreneurship - Financial Management
Cape Peninsula University of Technology
Certification
- Power BI Data Analytics Associates Certificate- Microsoft
- Google Data Analytics Professional course
- Google Analytics
- Advanced Excel
- Public Management
- TEFL
Projects
- Capstone project: Google Analytics - Designed and implemented data solutions using Google Analytics.
- Gained experience in storytelling, data visualization, dashboard reporting, and data-driven decision-making.
Work Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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References
References available upon request.
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