I am an aspiring Data Analyst passionate about transforming raw data into meaningful business insights. I build end-to-end analytics projects using SQL, Python, Excel, Power BI, and Tableau, with a growing interest in Artificial Intelligence (AI) and Machine Learning (ML). My goal is to leverage data-driven decision-making and intelligent solutions to solve real-world business problems and create impactful insights.
0 + Projects completed
Aspiring Data Analyst with a strong foundation in SQL, Python, Excel, Power BI, Tableau, and Machine Learning. Passionate about transforming raw data into meaningful insights through data analysis, visualization, and predictive modeling. Experienced in building end-to-end analytics projects and interactive dashboards to support data-driven business decisions.
ITVedant is a leading IT training institute offering practical, industry-focused programs in Data Analytics and emerging technologies.
ExcelR is a global edtech company delivering hands-on training in Data Analytics, Data Science, AI, and Business Intelligence.
Grade: First class distinction.
Grade: First class distinction.
Below are the sample Data Analytics projects on SQL, Python, Power BI & ML.
Built a Power BI dashboard analyzing 6,418 customers to uncover churn drivers across payment method, contract type, and tenure, revealing a 27% churn rate
Built an interactive Power BI dashboard analyzing $2.22M in sales and $175K profit across regions, segments, and categories to surface performance gaps
Built a Power BI dashboard analyzing 1.417K employees to track attrition (16.3%), department headcount, and satisfaction trends for retention planning.
Built an Excel dashboard analyzing $23.6M in sales and $2.47M profit by year, category, and region to identify top-performing customers.
Built an Excel dashboard tracking 171 headcount and 27% attrition across job levels, departments, and reporting structure to surface workforce trends.
Built an Excel dashboard analyzing sales performance and customer segments by region and category to uncover purchasing trends.
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