Recommended expert

Oluwatobi Daodu

Data Analyst Intern

Oluwatobi Daodu
United Kingdom

Experience

Jan 2024 - May 2024
5 months

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.
Jan 2022 - Present
4 years 1 month

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.

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

English
Advanced
Yoruba
Advanced

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

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