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Data Analyst with less than a year in Business Intelligence & Reporting.
Highly analytical and results-oriented Data Analytics professional with 6 months of certified internship experience specializing in business intelligence, reporting, and process automation. Proficient in Microsoft Power Platform (Power BI, Power Apps, Power Automate), SQL Server, Python, and Advanced Excel with proven ability to transform raw data into actionable business insights. Demonstrated expertise in building interactive dashboards, optimizing data models, and automating workflows that drive organizational efficiency. Strong analytical, problem-solving, and communication skills combined with fast learning capabilities. Seeking to leverage analytical expertise in Data Analyst, Business Analyst, or Reporting Analyst roles to drive data-driven decision-making and business growth.
Swami Ramanand Teerth Marathwada University
Bachelor of Science (B.Sc)
August 1, 2019 – June 30, 2022
Swami Ramanand Teerth Marathwada University
Master of Science (M.Sc)
N/A – June 30, 2026
Faisal Sir Learning Academy
Data Analytics Intern
May 1, 2025 – November 1, 2025
India
Employee Leave & Attendance Management System
June 21, 2026 – Present
Designed and implemented an automated employee leave and attendance tracking solution using Microsoft Power Platform, eliminating manual processes and improving HR efficiency. Built intuitive Power Apps interfaces for employee leave requests, approval workflows, and real-time status tracking accessible across devices. Configured Power Automate workflows for automated approval routing, email notifications, manager escalations, and seamless record updates. Utilized SharePoint Online as a secure, scalable backend for storing employee data, attendance records, and leave history with role-based access controls. Improved process efficiency by 40%, enhanced transparency in leave management, and significantly reduced manual HR effort while ensuring compliance.
Power BI Sales Insight Dashboard
June 21, 2026 – Present
Designed and implemented comprehensive interactive Power BI dashboards featuring KPIs, sales trends, category analysis, and performance metrics to enable data-driven business decisions. Utilized Power Query to clean and transform raw sales data from multiple sources, improving data consistency and reliability. Created advanced DAX measures including Total Sales, Profit Percentage, Month-over-Month Growth, Year-over-Year Trends, and Dynamic Date Filters for time intelligence analysis. Enabled drill-down, drill-through capabilities, slicers, and comparative visualizations to facilitate enhanced decision-making and executive-level reporting.
Cultural Fit Analysis
The candidate's projects demonstrate a practical, problem-solving mindset, aligning well with roles requiring tangible business impact. The 'Power BI Sales Insight Dashboard' and 'Employee Leave & Attendance Management System' show initiative in applying technical skills to real-world business challenges. The breadth of tools used (Power BI, Power Apps, Power Automate, SQL, Python, Excel) indicates a versatile individual who can adapt to different technological environments. The focus on automation and efficiency aligns with modern data-driven organizational cultures. However, the candidate's experience level is entry-level, and while the projects are relevant, they are from an internship, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills, as evidenced by their project descriptions and internship responsibilities. Their focus on improving efficiency (e.g., 40% process efficiency improvement, 30% reporting efficiency enhancement) indicates a results-oriented approach. The ability to work with diverse tools and platforms (Microsoft Power Platform, SQL, Python, Excel) suggests adaptability and a willingness to learn. The internship was remote, indicating self-discipline and independent work capabilities. However, the resume does not provide explicit details on teamwork or leadership experiences beyond project descriptions, which might be an area for further exploration.