Portfolio
Rakesh Men
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I am a Business Intelligence Developer with expertise in Power BI, Data Visualization, Reporting Analytics, and Business Intelligence strategy. I specialize in creating high-performance Power BI Dashboards, Power BI Reports, and advanced DAX Queries to deliver actionable insights that drive business growth.
About Me
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With strong knowledge of Microsoft Power BI, DAX, Power Query, and ETL processes, I design scalable data workflows using Azure Data Factory. My experience includes building Star Schema and Snowflake Schema models, optimizing OLTP and OLAP systems, and performing advanced Data Modeling for enterprise analytics.
I have deep SQL expertise, working extensively with SQL Queries, Views, Indexes, Joins, Aggregations, Common Table Expressions (CTE), Stored Procedures, and Window Functions. My skills in SQL Server and RDBMS ensure performance tuning, indexing, and automation to deliver seamless analytics solutions.
My background includes Business Reporting, Trend Analysis, Requirement Gathering, Project Management, and close collaboration with Quality Assurance teams to ensure Data Quality. I thrive in Agile environments, applying strong Problem Solving and Business Analysis skills to deliver impactful solutions.
I also bring hands-on experience with APIs, GIT, Excel, Reporting, Communication Skills, and emerging technologies such as Gen AI to enhance business intelligence workflows.
Core Expertise
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Business Intelligence, Power BI, DAX, Power Query, ETL, Azure Data Factory, OLTP, OLAP, Star Schema, Snowflake Schema, SQL, SQL Server, Data Modeling, Business Reporting, Reporting Analytics, Data Analytics, Data Visualization, Agile, Trend Analysis, Automation, Data Quality, APIs, GIT, Excel, Gen AI.
Projects
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- Project 1 -
A complete Power BI Sales Management Dashboard built with SQL, DAX, and data modeling best practices | Link
- Project 2 -
This project is focused on analyzing Global Electronics sales data using SQL & Power BI. The analysis includes exploring sales trends, customer preferences, and revenue distribution through interactive visualizations. The insights aim to support data-driven decisions that enhance customer experience, optimize operations, and drive business growth | Link
Links & Contact
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LinkedIn
GitHub
Email
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