Data Analyst with less than a year in Python, SQL & 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
Enthusiastic and analytical B.Tech Information Technology graduate from Kings Engineering College, seeking an entry-level position as a Data Analyst. Skilled in using tools such as Power BI, Excel, Python, and SQL to collect, clean, and analyze data for meaningful insights.
Kings Engineering College
B.Tech(IT) · Information Technology
August 1, 2021 – June 30, 2025
Government Higher Secondary School
HSC
June 1, 2020 – May 31, 2021
Government Higher Secondary School
SSLC
June 1, 2018 – May 31, 2019
CodeAlpha
Internship
November 1, 2025 – Present
India
Amazon Sales Analysis
June 1, 2026 – Present
Designed and developed an interactive Power BI dashboard to analyze Amazon sales data. Utilized Power Query and DAX to clean, transform, and calculate key metrics. Created dynamic visualizations to track regional performance and monthly sales trends.
Credit Card Fraud Detection Using Machine Learning
June 1, 2026 – Present
Designed and implemented a machine learning model to identify fraudulent credit card transactions. Collected and preprocessed transaction data, handling missing values and class imbalance using SMOTE technique. Applied Logistic Regression, Random Forest, and Support Vector Machine (SVM) algorithms for classification.
MySQL Basics
Great Learning Academy
June 1, 2026 – Present
Python
Udemy
June 1, 2026 – Present
Internship
CodeAlpha
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic background and project work show a foundational interest in data analysis and machine learning. The internship at CodeAlpha suggests a willingness to learn and apply technical skills in a practical setting. The diversity of projects (sales analysis, fraud detection) indicates a broad interest in different data applications. However, with limited professional experience, the depth of cultural fit within a fast-paced, senior-level team is difficult to fully assess.
Soft Skills & Operational Fit
The candidate's profile indicates an enthusiastic and analytical approach, which aligns well with the problem-solving nature of a Data Analyst role. The academic projects demonstrate initiative and a structured approach to data challenges. However, with limited professional experience, the operational fit regarding collaboration in a corporate environment and handling complex, ambiguous business requirements is yet to be fully demonstrated.