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Comet

#freelancer • 8m

Power BI Developer vs Data Engineer : Power BI Developer: Design and develop reports and dashboards. Data Engineer: Manage data infrastructure and integration for Power BI.

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Shraddha Saraswat

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Hi everyone! 👋 Introduction: I'm Shraddha Saraswat, a dedicated Data Analyst with a strong background in data collection, cleaning, analysis, and visualization. I am currently exploring new opportunities to leverage my skills and expertise. 📊 Pro

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Shuvodip Ray

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SHYAMALA IYER

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Are you a startup trying to make sense of your data but don’t have the bandwidth or resources to build a powerful reporting system? I’m here to help you build interactive, scalable, and insightful dashboards in Power BI , tailored specifically for t

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Shubham Likhar

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Hi Everyone I'm a data analyst with 9 months of hands-on experience, skilled in Power BI, MySQL, Advanced Excel, and Tableau. I specialize in data visualization, statistical analysis, and reporting. I'm currently looking for a new opportunity in the

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Sujit Kumar Mishra

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Fiverr • 12d

Hii , I am a Data Analyst with 3 years of experience and Completed more than 60 projects in this. I am also a power bi trainer and I can teach in a better way. I am using power bi Tableau, power bi and Excel, as well as Google sheet visualization and

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Rumaan Kazi

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Aarjav Jain

Hey I am on Medial • 14d

Open to Azure Data Engineer roles 3+ years of experience in data domain with strong skills in Azure Data Factory, Synapse, SQL, and Power BI. Microsoft Certified – DP-900 Please let me know if there are any suitable openings. #AzureDataEngineer #Ope

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SHEETAL SHARMA

Not an entrepreneur,... • 25d

✅ Day 1 of my Power BI journey – Done! Today, I finally completed the first day of my 7-day Power BI learning plan. I installed Power BI Desktop, explored the interface, and learned the basics about datasets, reports, and dashboards. Honestly, it

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Comet

#freelancer • 7m

Essential Python Topics for Data Analysts 😄👇 - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missin

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