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Data Analyst with less than a year in Python, SQL, Power BI, and Excel.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science student with strong analytical and problem-solving skills, eager to apply academic knowledge to real-world data challenges. Proficient in data cleaning, transformation, and visualization using tools like Excel, Power BI, SQL, and Python. Completed multiple data analytics projects demonstrating ability to extract actionable insights and develop interactive dashboards to support data-driven decision-making.
VIVA College of Arts, Commerce and Science, Virar
Bachelor of Science · Data Science
August 1, 2023 – June 30, 2026
Holy Family Convent High School
12th HSC Board
June 1, 2021 – May 31, 2023
Sales Performance Dashboard using Excel
June 1, 2025 – June 1, 2026
Cleaned, transformed, and validated raw sales data using Power Query to ensure data accuracy, consistency, and reliability for business reporting and analysis. Created Pivot Tables, Charts, and Slicers to analyze sales trends, customer segments, product performance, and regional growth patterns across multiple categories. Developed an interactive Excel dashboard that provided actionable insights into key sales metrics, top-performing products, and revenue-driving regions, supporting data-driven decision-making.
Insta Mart Sales Analytics Dashboard using Power BI
June 1, 2025 – June 1, 2026
Performed end-to-end data cleaning, transformation, and data modeling using Power Query and Power BI to prepare structured datasets for analysis. Created KPIs, DAX measures, and interactive visualizations to evaluate sales performance, customer purchasing behavior, outlet performance, and product trends. Designed a dynamic dashboard with filters and drill-down capabilities that enabled stakeholders to identify business opportunities and make informed decisions.
Online Bookstore Sales Analysis using SQL
June 1, 2025 – June 1, 2026
Designed and developed a relational database for an Online Bookstore using PostgreSQL, including Books, Customers, and Orders tables with appropriate relationships. Performed data analysis using SQL queries involving JOINS, Aggregate Functions, GROUP BY, HAVING, ORDER BY, and Filtering techniques to extract meaningful business insights. Analysed customer purchasing behaviour, inventory levels, sales performance, and genre-wise book trends through structured database queries.
Customer Sales Exploratory Data Analysis using Python
June 1, 2025 – June 1, 2026
Performed data cleaning, preprocessing, and transformation using Python, Pandas, and NumPy to prepare datasets for accurate analysis and visualization. Conducted Exploratory Data Analysis (EDA) using Python libraries to identify sales trends, customer demographics, purchasing patterns, and product performance across different categories.
Tableau Mastery – Skill Course
Unknown
June 1, 2026 – Present
Statistics Mastery – Skill Course
Unknown
June 1, 2026 – Present
Data Analytics Course – Skill Course
Unknown
June 1, 2026 – Present
Power Query Mastery – Skill Course
Unknown
June 1, 2026 – Present
Advanced Microsoft Excel - Skill Course
Unknown
June 1, 2026 – Present
Python Mastery – Skill Course
Unknown
June 1, 2026 – Present
Power BI Mastery – Skill Course
Unknown
June 1, 2026 – Present
SQL Mastery - Skill Course
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in data analysis across various domains (sales, e-commerce), indicating a proactive learning approach. The listed certifications further support a dedication to skill development. The academic achievements and participation in extracurricular activities suggest a well-rounded individual who can contribute positively to a team environment. However, the absence of collaborative projects or team-based work experience makes it difficult to fully assess cultural fit beyond individual drive and learning aptitude.
Soft Skills & Operational Fit
The candidate lists analytical thinking, problem-solving, communication, attention to detail, critical thinking, and time management as soft skills. While these are crucial for a Data Analyst role, there is no direct evidence or assessment data to validate these claims. The project descriptions are clear, indicating a basic level of communication in written form. Operational fit is moderate given the candidate's academic background and project experience, but the lack of professional experience suggests a need for structured guidance in a corporate environment.