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Data Analyst with less than a year in Python, SQL, and Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
In Data Analytics & Data Science with strong knowledge of Python, SQL, Excel, and Power BI/Tableau. I am skilled in data cleaning, basic visualization, and applying fundamental statistics and machine learning concepts to solve simple analytical problems. Eager to learn, grow, and contribute to data-driven decision-making.
University of Mumbai
Bachelor of Information Technology
August 1, 2021 – June 30, 2025
Maharashtra State Board
HSC (12th)
June 1, 2020 – May 31, 2022
Accessories Sales Dashboard
June 1, 2026 – Present
• Designed and developed an interactive Sales Dashboard in Excel to track KPIs such as revenue, sales trends, top performing products, and regional performance. • Used Pivot Tables, Pivot Charts, slicers, and Power Query for data cleaning, transformation, and visualization. • Delivered clear business insights through data storytelling and visualization.
Hospital Database Management System
June 1, 2026 – Present
• Designed and implemented a hospital management database to handle patients, doctors, appointments, treatments, billing, and room allocations. • Created normalized relational tables with primary/foreign keys to maintain data integrity. • Wrote SQL queries, joins, and stored procedures to generate reports such as patient history, doctor schedules, treatment costs, and revenue trends. • Improved hospital data management by ensuring efficient storage, easy retrieval, and accurate reporting.
Amazon Sales Analysis
June 1, 2026 – Present
• Performed Amazon sales analysis using Power BI to track YTD/QTD sales, top products, and customer reviews for data-driven decision-making. • Identified key insights such as top-selling categories, seasonal patterns, and customer satisfaction indicators. • Built dynamic dashboards to highlight top 5 products, product movement, and growth patterns. • Delivered actionable insights to support sales strategy, inventory planning, and performance optimization.
Applied Data Science Analysis with Python from I.T Vedant
I.T Vedant
November 1, 2025 – Present
NumPy And Statistical Analysis with Python from I.T. Vedant
I.T. Vedant
November 1, 2025 – Present
Python Essentials from I.T. Vedant
I.T. Vedant
October 1, 2025 – Present
Tableau Essentials from I.T. Vedant
I.T. Vedant
September 1, 2025 – Present
Power BI Essentials from I.T. Vedant
I.T. Vedant
September 1, 2025 – Present
Data Visualization from TATA/Forage
TATA/Forage
July 1, 2025 – Present
Data Analytics from Deloitte
Deloitte
July 1, 2025 – Present
Advanced Excel from I.T. Vedant
I.T. Vedant
July 1, 2025 – Present
Spoken Tutorial from IIT Bombay
IIT Bombay
February 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a foundational understanding of data analysis and database management, which aligns with the target role of a Data Analyst. The diversity of projects (sales, hospital management, e-commerce) shows an ability to apply data skills across different domains. The numerous certifications indicate a proactive and self-driven learning attitude, which is a positive cultural fit for roles requiring continuous skill development. However, the lack of professional experience means there's no direct evidence of collaboration within a team or adapting to corporate culture. The projects are all academic, which might limit exposure to real-world business complexities and team dynamics.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as strong communication, analytical & critical thinking, problem-solving, attention to detail, collaboration, time management, and multi-tasking. These are crucial for a Data Analyst role, where interpreting and presenting data insights effectively is as important as the technical analysis itself. The academic projects demonstrate an ability to work through a problem from data collection to insight delivery, suggesting a structured approach to tasks. However, without professional experience, the practical application and effectiveness of these soft skills in a corporate operational environment are yet to be validated.