Data Analyst with less than a year in data visualization.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated and detail-oriented aspiring Data Analyst with a strong foundation in Python, SQL, and data visualization. Passionate about transforming raw data into meaningful insights to support business decision-making. Eager to leverage analytical skills, problem-solving abilities, and a continuous learning mindset to contribute effectively in a data-driven organization while growing professionally in the field of data analytics.
Budge Budge Institute of Technology
B.Tech · computer science & engineering
August 1, 2021 – June 30, 2025
SQL Retail sales
June 1, 2026 – Present
Designed and built a retail sales database and performed data cleaning by identifying and removing null values. Conducted exploratory data analysis EDA to evaluate total sales, unique customers, and product categories. Used SQL aggregations SUM, AVG, COUNT and GROUP BY to analyze category-wise sales performance and customer behavior.
Diwali Sales Data Analysis & Visualization using Python
June 1, 2026 – Present
Analyzed Diwali sales dataset using Python Pandas, NumPy to understand customer purchasing behavior. Performed data cleaning by handling missing values and removing duplicate records. Conducted exploratory data analysis EDA to identify sales trends based on gender, age group, occupation, and product categories.
Banking Database Analysis using SQL
June 1, 2026 – Present
Designed and executed complex SQL queries on a banking database containing customers, accounts, transactions, and relationship details. Performed customer-wise balance analysis using GROUP BY and aggregate functions such as AVG and SUM. Retrieved account and transaction details using INNER JOIN, LEFT JOIN, and CROSS JOIN.
SQLITE ULTIMATE Course
Udemy
June 1, 2026 – Present
Python Programming
Udemy
June 1, 2026 – Present
Data Science Course With Gen Al
Medha Edu Tech
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show a focus on data analysis across different domains (retail, banking, e-commerce), indicating versatility. The certifications in Python, SQL, and Data Science with Gen AI suggest a continuous learning mindset. However, the lack of professional experience and diverse team projects limits the assessment of cultural fit beyond a foundational level. The projects are all academic, which might not fully reflect real-world collaboration or business acumen.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through multiple certifications and academic projects. The project descriptions indicate an ability to work with structured and semi-structured data, perform data cleaning, and derive insights. However, without professional experience or psychometric test results, it's difficult to assess stress handling, team collaboration, or advanced problem-solving in an operational context.