Oluwatobi Daodu
Data Analyst Intern
Experience
Data Analyst Intern
Ingryd
- Assisted in data collection, cleaning, and preprocessing using Excel, handling datasets with over 100,000 entries to ensure readiness for analysis.
- Utilized advanced Excel functions (e.g., VLOOKUP, PivotTables, Macros) to perform complex data analysis and reporting, reducing manual processing time by 40%.
- Developed a dynamic dashboard using Excel to visualize key metrics and performances.
- Created detailed documentation of data analysis processes and findings, ensuring knowledge transfer and process transparency for future projects.
- Collaborated with business stakeholders to understand their data needs and provide analytical solutions, leading to a 20% increase in employee performance scores.
- Created five KPIs to identify employee performance levels.
- Ensured data integrity and accuracy by performing regular data quality checks, achieving a 99.9% data accuracy rate.
- Completed a simulation involving creating data visualizations for Tata Consultancy Services.
- Prepared questions for a meeting with client senior leadership.
- Created visuals for data analysis to help executives with effective decision-making.
Data Analyst
Toltom Global Services
- Conducted in-depth analysis of a dataset containing over 78,000 rows of COVID-19 data using Microsoft SQL to assess the virus's spread across various countries, improving decision-making processes by 30%.
- Calculated monthly and annual averages for confirmed cases, deaths, and recoveries using SQL.
- Presented insights and key findings through PowerPoint to effectively communicate results.
- Shared detailed insights and conclusions based on the analysis performed.
- Documented the entire analytical process and findings in a comprehensive Microsoft Word report.
- Developed a dynamic Power BI dashboard to visualize key metrics and trends in NREGA analysis.
- Provided detailed visualizations on employment distribution across states and budget allocations.
- Cleaned and pre-processed a dataset of 750 rows using Microsoft Excel, followed by data transformation in Power Query to ensure readiness for analysis.
- Presented data-driven insights derived solely from the thorough analysis conducted.
Online Food Store Analysis
- Worked closely with team members to analyze the relationship between demographic and location factors and online food ordering behaviour using Python.
- Cleansed and processed 5,000 rows using Pandas in Python to prepare data for analysis, resulting in a 25% reduction in data processing time.
- Conducted exploratory data analysis to uncover patterns and trends within the dataset.
- Visualized and summarized the relationships between customer feedback, delivery time, and income using Python’s data visualization libraries.
Sales Analysis
- Conducted in-depth analysis of a dataset containing over 2,000 rows using Microsoft Power BI.
- Created measures using DAX formulas to express KPI metrics during analysis.
- Created a dynamic dashboard for visualization to communicate findings.
- Presented data-driven insights derived solely from the thorough analysis conducted.
Industries Experience
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Experienced in Professional Services (4 years) and Information Technology (0.5 years).
Business Areas Experience
The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.
Experienced in Business Intelligence (4 years) and Research and Development (4 years).
Summary
Detail-oriented Data Analyst with 4+ years of experience in data interpretation, statistical analysis, and data visualization. Proficient in SQL, Power BI and Excel with a proven track record of using data insights to drive strategic decision-making and improve operational efficiency. Skilled in transforming complex data sets into actionable business intelligence. Seeking to leverage analytical expertise in a dynamic environment to support data-driven decision-making and business growth.
Skills
Technical Skills
- Postgresql
- Microsoft Sql
- Microsoft Power Bi
- Microsoft Powerpoint
- Office Suite (Microsoft Word, Microsoft Excel)
Soft Skills
- Clear And Concise Verbal And Written Communication.
- Ability To Work Effectively In Cross-functional Teams.
- Strong Analytical And Troubleshooting Skills.
- Agile Methodologies, Project Planning, Time Management.
- Experience Leading Projects Or Mentoring Team Members.
- Ability To Quickly Learn New Tools And Technologies.
- Ability To Think Strategically And Make Data-driven Decisions.
Languages
Education
Federal University of Agriculture Abeokuta
B.Agric · Plant Physiology and Crop Production · Abeokuta, Nigeria
Certifications & licenses
Data Science
Ingryd Academy
Empowering Business With Effective Insights
Forage (Tata Group)
Microsoft Power Up Program
Profile
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