Machine Learning Data Visualization Data Mining Data Processing

About:

Will do data mining, data analytics, data visualization, data processing and machine learning projects.

Technical skills: Python, R, Spark, SQL, AWS, Azure.

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Create Powerapps, Powerbi And Power Automate Solutions

About:

Please chat with me before placing an order to schedule a time. 

YOU DON'T PAY IF YOU ARE NOT SATISFIED

A Skype/Teams or Phone conversation is needed to understand project requirements.

I'm an experienced Microsoft Consultant (SharePoint, Dynamics 365, Power Platform - PowerApps, Power Automate and Power BI). I've been developing digitisation solutions in SharePoint, Dynamics 365, PowerBI and Powerapps for 5 years.

I have delivered solutions for Australia's Biggest technology company. 

Expertise:

Office 365 Suite

- PowerApps (Power Apps - Canvas Apps, Model Driven Apps, Portals)

- Power BI

- Flow (Power Automate)

- Logic Apps

- Azure Functions

- SharePoint Online, 2019, 2016, 2013, 2010, 2007

Data Analysis and Visualization Skills

- Data and Quantitative Analysis

- Decision Analytics

- KPI Dashboards and BPI Plans

- Data Mining and Visualization Tools

Please allow me an opportunity to help you succeed.

Reviews

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Excellent communications skills

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Competent seller

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Greta problem solver and communicator

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Muy buena comunicación entendió todo a la perfección vamos a seguir trabajando juntos

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Improve Your Business Data

About:

I can improve your data side and find answers at your questions inside your Business!

Preparing Dashboards and User Story`s using Tableau and PowerBI, also Excel and Google Sheets.

Analysing your data with quering it from your DB using SQL and processing it Python with R.

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Analysis Of Variation In Data Set Using Statistical Tools

About:

variation is the life of the world. and in statistics the most important analysis is variation study in data set of single variable or multiple variables. we use ANOVA study to find difference among factors which effect response variable. this is a huge study and most reliable study in variation analysis. also for limited study we use variance, standard deviation and coefficient of variation for analysis.

after successfully data collection , we present it, after that we find its average , then variation of observations from mean point, then relation and variations amongst variables,then we decide better fit variable for the study.

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