Rotimi Junior Data Analyst
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Hello, future data enthusiasts! I'm Musa Rotimi, your dedicated Data Analytics tutor with a passion for transforming raw data into actionable insights. I bring a wealth of experience from my role as a junior data analyst at a retail store, where I honed my skill in organizing, and cleaning datasets from various departments. My knack for performing descriptive analysis on daily, weekly, and monthly figures allowed me to identify patterns and trends that led to strategic business decisions. Additionally, I crafted predictive models, including binary classification models for customer churn and probability models to forecast stock levels.

🌐 What I Offer:

Tailored Learning Plans: Customized lessons to match your skill level and learning pace.
Real-World Scenarios: Practical applications of analytics in diverse industries for a holistic understanding.
Project-Based Learning: Hands-on projects to build a robust portfolio and showcase your skills.
Q&A: I encourage learners to ask questions, ensuring they grasp concepts thoroughly.
🚀 Let's Dive Into the World of Data Analytics!

Whether you're a beginner looking to decipher the world of data or an intermediate learner aiming to enhance your skills, join me on this exhilarating adventure. Together, we'll unravel the complexities of data analytics, turning you into a proficient analyst ready to tackle real-world challenges.

Ready to embark on this data-driven journey? Let's get started! 🚀📈

Subjects

  • Microsoft Excel Beginner-Expert

  • SQL Beginner-Expert

  • Data analysis and visualization Beginner-Expert

  • Statistical Modeling Beginner-Expert

Experience

  • Junior Data Analyst (Aug, 2022–Oct, 2023) at Choice Brunei
    •Gathered, cleaned, and maintained data from different departments to
    ensure data-driven decision-making processes.
    •Elicited requirements from various stakeholders, ensuring that datasets were aligned with business objectives
    •Performed descriptive analysis on daily, weekly, and monthly figures to
    identify, trends, and patterns, influencing key business strategy
    decisions.
    •Through thorough analysis of sales patterns and trends, I identified
    underperforming product categories and initiated targeted promotions,
    resulting in a 12% increase in overall sales.
    •Performed predictive analysis on historical data to forecast sales
    •Developed interactive dashboards using Tableau, offering real-time
    insights into sales and customer data for senior management
    •Conducted binary classification and linear regression analyses to
    optimize marketing campaigns, resulting in a 15% rise in campaign ROI.

Education

  • Product Analytics (Nov, 2023–now) from Pendo
  • Mastering Data Analysis in Excel (Oct, 2023–now) from Duke University
  • Excel: Economic Analysis and Data Analytics (Oct, 2023–now) from LinkedIn Learning
  • Business Metrics for Data-Driven Companies (Sep, 2023–now) from Duke University
  • SQL for Data Science (Jul, 2023–now) from uc davis
  • Soil Science and Land Management (Jan, 2012–Nov, 2018) from Federal University of Agriculture, Abeokuta

Fee details

    ₦5,000–21,500/hour (US$3.23–13.89/hour)

    1hour or less(weekdays) - 5000
    More than 1hr(weekdays)- 5000 for the 1st hour and 5500 for each additional hour
    Weekends- 5000 per hour

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