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Ahammed J. Data Analysis, SQL and Data Visualization

My name is Ahammed J. and I have over 6 years of experience in the tech industry. I specialize in the following technologies: Microsoft Power BI, Microsoft Power BI Data Visualization, Data Analysis, Data Analysis Expressions, Power Query, etc.. I hold a degree in Master's degree. Some of the notable projects I’ve worked on include: HR Data Analysis: Engagement, Satisfaction, and Attrition Trends, Power BI Training Tutorial: Hide & Show Visuals with Slicers, Expense Analysis: Spending by Department, Category, and Employee, Supermarket Sales Analysis: Products, Income, and Payment Insights, Video Tutorial: Sales Growth Calculation Using Power BI & DAX, etc.. I am based in Ipswich, United Kingdom. I've successfully completed 10 projects while developing at Softaims.

My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.

I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.

I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.

Main technologies

  • Data Analysis, SQL and Data Visualization

    6 years

  • Microsoft Power BI

    5 Years

  • Microsoft Power BI Data Visualization

    5 Years

  • Data Analysis

    5 Years

Additional skills

  • Microsoft Power BI
  • Microsoft Power BI Data Visualization
  • Data Analysis
  • Data Analysis Expressions
  • Power Query
  • Data Mining
  • SQL Programming
  • Microsoft Excel
  • Microsoft Power BI Development
  • Data Visualization
  • Data Modeling
  • Data Analysis Consultation
  • Data Engineering
  • Data Science

Direct hire

Potentially possible

Previous Company

ThoughtSpot

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Experience Highlights

HR Data Analysis: Engagement, Satisfaction, and Attrition Trends

This project analyzes employee engagement, satisfaction, and attrition rates to identify key patterns and correlations. By examining these HR metrics, the analysis aims to uncover factors contributing to turnover and low engagement, enabling organizations to develop data-driven strategies to improve retention, enhance employee satisfaction, and optimize workforce management.

Power BI Training Tutorial: Hide & Show Visuals with Slicers

Key Highlights of the Tutorial: Learn how to create slicers in Power BI that serve as intuitive filters, enhancing the interactivity of your reports. Discover how to dynamically control visual visibility based on user selections, allowing for a more personalized experience. Master Power BI’s advanced features easily hide or show visuals, providing flexibility in your reports. Empower your audience with interactive reports that adapt to their needs in real time. Elevate your Power BI skills and learn how to create more dynamic and engaging reports.

Expense Analysis: Spending by Department, Category, and Employee

This Power BI report analyzes actual spending across multiple dimensions, including department, expense type, payment type, and employee. It offers an in-depth breakdown of expenditures, allowing users to explore actual spending by category, department, country, date, and quarter. The report provides valuable insights into spending patterns and allows for easy slicing and filtering to track and analyze expenses from various perspectives, helping businesses manage and optimize their budget more effectively

Supermarket Sales Analysis: Products, Income, and Payment Insights

Key Points in the Report: Analyze sales data, product performance, income trends, and payment methods used in the supermarket. Animated and Interactive visuals to enhance data presentation and make insights more engaging. Slicers for dynamic filtering, allowing users to explore sales data by product, income category, payment type, and more. The report provides valuable insights into sales patterns, helping optimize product offerings, revenue generation, and payment processing.

Video Tutorial: Sales Growth Calculation Using Power BI & DAX

Power BI Training (Beginner to Advanced): This training video demonstrates how to calculate last year’s sales and sales growth percentage using DAX formulas. The SAMEPERIODLASTYEAR function, which shifts the data back by one year. Sales growth is then calculated using two methods: Direct Percentage Calculation and Growth Factor Calculation. Both methods help calculate the sales growth percentage, allowing you to choose the approach that best suits your reporting needs. Follow along to track your sales growth effectively!

Education

  • Sikkim Manipal University

    Master's degree in Information Technology(IT)

    2014-01-01-2016-01-01

Languages

  • English
  • Hindi