Anil Maharjan
MVP(2018 - 2023) | Senior Data Engineer
Kathmandu, Nepal
Actions
Anil Maharjan is Microsoft Data Platform MVP (2018-2023) with 14+ years of experience designing and implementing advanced data engineering and analytics solutions across telecommunications and US healthcare domains. Specialized in Microsoft Data platforms, big data tools, data visualization, data engineering, data analytics and data governance. Proven leader in leveraging Microsoft BI Stack, Power BI , Microsoft Fabric , Azure, and Cloudera technologies .
• Published article, frequent Blogger and speaker at local SQL Server User group, SQLSaturdays , Nepal Power BI User Group , Data and BI Summit 2018 - Dublin , Microsoft Ignite Singapore -2019 , Power Platform Summit Australia - 2019 , PASS Marathon: Analytics and other SQL and Power BI Events.
• User Group Leader Nepal Power BI/ Microsoft Fabric User Group
• Program Committee member for PASS Summit 2014 for the BI Platform Architecture, Development & Administration Team
• Program Committee member for DATA and BI Summit 2018 - Dublin in Visualize Track focusing on Building and Designing Dashboards and Reports
• Program Committee Track Leader for Power Platform Summit Australia 2019 in Power BI Measure track
• Judge for Microsoft Imagine Cup 2023 Epic Challenge, Imagine Cup Junior 2022 Competition, Imagine Cup Junior 2023 Competition and 2024 Imagine Cup MVP competition.
• Member of TM Forum and Project Member in TM Forum AI & Data Analytics Project.
Professional Blogging site:
http://anilmaharjanonbi.wordpress.com
http://maharjananil.com.np
Co-Author of Power BI MVP Book.
https://www.amazon.com/Power-BI-MVP-Book-techniques/dp/1089210515/ref=tmm_pap_swatch_0?_encoding=UTF8&qid=&sr=
Experience in Data Analysis & Visualization, Data Engineering and Data Analytics in order to find story behind data and find more useful insight in data and presenting those stories & insight with dashboards and automated reports using different reporting Tools. The principal role involves Big Data Analytics, BI and Data Warehouse architecture, design, reporting and implementation. Big Data implementation and Data Analytics with the use of Microsoft Fabric, Microsoft Azure (ML/AI) and Cloudera distribution Hadoop and Spark.
Specialties:
Designing and implementing Enterprise Data Engineering and Data Analytics solutions: Microsoft BI Stack (SQL, SSRS, SSAS, SSIS), MDx, Power BI, Tableau, ETL, DWH, Cloudera Data Platform (CDP), Microsoft Fabric, Microsoft Azure (ML/AI), Data Analysis, Data Visualization, Data Engineering, Data Analytics and Data Governance.
Links
Area of Expertise
Topics
Microsoft Fabric Power BI, Azure Machine learning and Python to Visualize and Predict Connected Car.
This session is mainly use to learn more about Microsoft Fabric Power BI, Python and Azure ML and different visualization chart. How we can use Power BI , Azure ML and Python to visualize and predict the connected car from the IOT sensors related data of connected cars. From this session one can learn how can we make some simple and quick visualization using Power BI desktop taking IOT Sensors data and use Python and Azure ML to do analytics and prediction. Also, this session mainly helps to tell the story of connected car driver movement patterns , driver behaviour analysis, car activity pattern, car parking management , virtual radars, traffic management , car footprint and fuel consumption , toll management and emergency and dispatch . Overall, by using Power BI and Python and Azure ML how one can use analytics and prediction. So, this session will surely help one to learn regarding Microsoft Fabric Power BI, Python and Azure ML and its capabilities.
Microsoft Power BI Desktop: data exploration, analysis, and storytelling
This session is mainly use to learn more about Power BI and different visualization chart. From this session one can learn how can we use Microsoft Power BI Desktop for data exploration, analysis, and storytelling. Also, how we can use Power BI to visualize the connected car from the IOT sensors related data of connected cars.
From this session one can learn how can we make some simple and quick visualization using Power BI desktop taking IOT Sensors data and publish into PowerBI Service and find out the different possible scenarios in a smarter city with connected cars. Also, this session mainly helps to tell the story of connected car.
Microsoft Power BI, Python to Visualize and Predict Connected Car
This session is mainly use to learn more about Power BI, Python and Azure ML and different visualization chart. How we can use Power BI and Python to visualize and predict the connected car from the IOT sensors related data of connected cars. From this session one can learn how can we make some simple and quick visualization using Power BI desktop taking IOT Sensors data and publish into PowerBI cloud service and also publish those visualization reports to publicly in web. Also, this session mainly helps to tell the story of connected car driver movement patterns and helps to understand and predict which driver or car might be unsafe or risky one. Overall, by using Power BI and Python and Azure ML how one can use analytics and prediction. So, this session will surely help one to learn regarding Power BI, Python and Azure ML and its capabilities.
Anil Maharjan
MVP(2018 - 2023) | Senior Data Engineer
Kathmandu, Nepal
Links
Actions
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top