Runo Asore

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Runo Asore

Runo Asore

@AsoreRuno

Aspiring Data Analyst

Tham gia Haziran 2022
35 Đang theo dõi23 Người theo dõi
Udoka Okoli
Udoka Okoli@ud_shalom·
Third internship unlocked 🚀📊 Excited to join AnalystLab Africa as an Entry-Level Data Analyst Intern! Ready to learn, grow, and take on new challenges. The journey keeps getting better 🔥 #AnalystLabAfrica #internship #datacommunity
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Ezekiel
Ezekiel@ezekiel_aleke·
Dear Data Analyst! If you’re looking for an internship position. Use this letter. Repost for others❤️
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AYODELE JOHN
AYODELE JOHN@M_O_G96·
Guys 🫵 here it is done 👍🙌🙌👏👏 What a journey 🙌🙏 @neo_officialll @TechSphereAcad @Wizarab10 I'm finally done with my Capstone project 🫵🫵 Thank you all for the journey 🙏 so far #DataAnalytics #CapstoneProject @ezekiel_aleke your student is doing well 😀😃
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AYODELE JOHN@M_O_G96

Application fee 👀 successfully paid 🙌🙌🙌🙌🙌..... I want to use this opportunity to say thank you 🙏 to @Wizarab10 and @TSAcademyOnline for this great privilege 🙏🙇‍♀️..... Thank you so much sir 🙏🙇‍♂️. #TSAcademyonline #DataAnalytics My journey to becoming a Data Analyst .

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Ezekiel
Ezekiel@ezekiel_aleke·
Act as a senior data analyst and dataset engineer. Generate a realistic, clean, analysis-ready dataset for [sector] Dataset requirements: - Number of rows: [e.g. 500, 1,000, 10,000] - Columns needed: [list all columns] - Data type for each column: [text, number, date, category, etc.] - Realistic distributions and patterns (no random assumptions) - Include real-world inconsistencies where necessary (missing values, duplicates, typos, outliers) if relevant. - Make it suitable for: [Excel practice / SQL analysis / Power BI dashboard / Portfolio project / ML, etc.] Output format: - Present as a clean table - Make column names clear and professional - Ensure the data is realistic and logically consistent Extra: - Briefly explain the business context behind the data - Suggest 5–10 analysis questions that can be answered from the dataset
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Runo Asore
Runo Asore@AsoreRuno·
Just completed my Capstone Project using Power BI 📊🚛 Special shoutout to @ezekiel_aleke for the guidance and mentorship throughout this learning journey 🙌 And big appreciation to @TechSphereAcad for providing a practical, industry-standard learning experience. #DataAnalytics
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Runo Asore
Runo Asore@AsoreRuno·
🔹 Fleet utilization and incident trends revealed areas for operational optimization. This project helped strengthen my skills in: 📌 Data Cleaning 📌 Data Modeling 📌 DAX Calculations 📌 KPI Development 📌 Dashboard Design & Storytelling 📌 Business Insight Generation
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Runo Asore
Runo Asore@AsoreRuno·
✅ Total Profit — $158.55M ✅ Operational Cost — $103.98M ✅ 85K Total Trips & Loads ✅ 77.5% Fleet Utilization ✅ 56% On-time Delivery Rate Some key insights discovered: 🔹 Revenue remained relatively stable across the year despite fluctuations in load volume.
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Runo Asore
Runo Asore@AsoreRuno·
This project focused on transforming raw logistics datasets into interactive dashboards that provide insights into: • Executive business performance • Fleet & driver efficiency • Financial and route profitability Key KPIs analyzed: ✅ Total Revenue — $262.53M
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Ezekiel
Ezekiel@ezekiel_aleke·
Dear Data Analyst!! One tool at a time. In the right order.
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Bella✨️
Bella✨️@UOkarevu64498·
As I wrap up my Capstone project, I applied for the Nithub × DataCamp scholarship, and I’m excited to be selected. Grateful for the opportunity to keep learning and growing 😌 Looking forward to making the most of it. @nithub_lag @DataCamp
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