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Data Analyst with less than a year in SQL, Python & Power BI for actionable insights.
Detail-oriented and analytical Data Analyst with a strong foundation in ML, Python, SQL, EXCEL, and Power BI. Hands-on experience in data cleaning, analysis, and visualization through academic and project-based work. Proficient in creating interactive dashboards, writing efficient SQL queries, and deriving actionable insights to support business decisions. Eager to contribute analytical skills and a structured approach in a professional, data-driven environment.
Solapur University
Master of Science · Statistics
August 1, 2023 – June 30, 2025
Shivaji University
Bachelor of Science · Statistics
August 1, 2020 – June 30, 2023
DMart Sales Performance Dashboard
June 21, 2026 – Present
Developed an interactive dashboard to analyze sales, revenue, customer trends, and product performance. Performed data cleaning using Power Query and created DAX measures for key KPIs. Built data models and designed visualizations (bar, line, donut, map) with dynamic filters. Delivered insights on regional sales, customer behavior, and payment trends for decision-making.
Superstore Sales
June 21, 2026 – Present
Analyzed 9,800+ retail sales records to identify trends in revenue, customer segments, and regional performance. Built an interactive dashboard to track key KPIs, monitor sales performance, and support data-driven business decisions. Delivered actionable insights to optimize product strategy and improve regional sales outcomes.
Cab Booking System
June 21, 2026 – Present
Designed and implemented a relational database schema for a cab booking system using MySQL, including customers, drivers, cabs, bookings, trips, and feedback. Performed complex SQL queries using JOINs, GROUP BY, HAVING, subqueries, views, and aggregate functions to analyze revenue, customer behavior, driver performance, cancellations, and ratings. Generated business insights such as top-revenue cab types, high-value customers, average trip distance, and driver satisfaction metrics to support operational decision-making.
Data Science and Analytics with Artificial Intelligence
I.T Vedant
January 1, 2026 – Present
Power BI
I.T. Vedant
January 1, 2026 – Present
Python
I.T Vedant
January 1, 2026 – Present
Tableau
I.T. Vedant
January 1, 2026 – Present
Advanced Excel
I.T. Vedant
January 1, 2025 – Present
SQL Mastery
I.T. Vedant
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a foundational understanding of data analysis across different domains (retail sales, cab booking). The breadth of tools and technologies listed (SQL, Python, Power BI, Tableau, Excel, ML concepts) indicates a willingness to learn and adapt. However, the lack of professional experience and team-based projects makes it challenging to fully assess cultural fit beyond a basic alignment with data-driven environments.
Soft Skills & Operational Fit
The candidate highlights 'Data Storytelling', 'Stakeholder Communication', and 'Team Collaboration' as soft skills. While these are crucial for a Data Analyst, there is no practical experience or assessment data to validate these claims. Operational fit is difficult to assess without work experience.