PowerBI
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Python
Project
Me
👋 Hello, I'm Piyush, a dedicated Data Analyst with a passion for uncovering meaningful stories within data. I bring a dynamic skill set and a strong foundation in data analysis, honed through practical experience and formal certification.
🛠️ Skills:
📈 Excel: Turning numbers into actionable insights.
💼 Advanced SQL: Querying databases like a pro.
📊 Power BI & Tableau: Crafting compelling visual narratives.
🧩 Alteryx: Streamlining data workflows for efficiency.
🐍 Python: Leveraging its power for data manipulation and analysis.
💼 Currently, I'm thriving as a System Engineer at Infosys, where I've been contributing since April 2022.
Let's connect! Feel free to reach out for collaboration, networking, or just a chat about all things data.
📩 [email protected]
☎️ 8839627734
Skills
Python
Tableau
Mysql
power apps
Projects
Unlock the power of data with the "Employee Insights Dashboard for atliQ Hardware." This dynamic Power BI project provides a comprehensive overview of the company's workforce, offering valuable insights into employee demographics, tenure, promotions, retirement projections, and job satisfaction.
"Explore the dynamic world of business insights with my Power BI project, showcasing the AtliQ hardware business data. This interactive dashboard provides a comprehensive view of the company's financial health, marketing performance, supply chain efficiency, and overall profit and loss status.
Explore the dynamic world of sales insights with my Power BI project, showcasing the Sprocket Central sales data. This interactive dashboard provides a comprehensive view of the company's sales and overall profit and loss status.
Dive into the dynamic world of finance with my latest portfolio addition—an ETL-powered analysis of the stock performance of industry giants Apple, Amazon, Google, and Microsoft. Through meticulous ETL processes, I've harnessed the power of Python and various libraries to unveil key insights.
Giving you an Analysis of a sample dataset of 4000 customers across five cities on their online spend and other details, along with their credit card usage and average income utilization.