Data Analyst with less than a year in Python, SQL, and Power BI.
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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.