Data Science with less than a year in Python & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented fresher with hands-on experience in Python, SQL, Excel, Power BI, Pandas, and software testing. Strong knowledge of data analysis, data cleaning, database management, ETL basics, functional testing, and debugging through academic and mini projects. Quick learner with excellent problem-solving, analytical, and communication skills.
Sri Sivasubramaniya Nadar College of Engineering
B.E · Mechanical Engineering
August 1, 2021 – June 30, 2025
Government Higher Secondary School Ponnai
HSC · Computer Science
N/A – May 31, 2021
Student Exam Score Prediction
June 10, 2026 – Present
Built a machine learning model using Linear Regression to predict student exam scores based on study hours, gender, parental education, and test preparation. Used SQL for data cleaning, feature encoding, and exploratory analysis. Exported dataset into Python (pandas, scikit-learn), trained model achieving ~85% accuracy (R² Score). Created visualizations (Hours vs Score, Actual vs Predicted) with Matplotlib and Excel.
Sales & Inventory Management System
June 10, 2026 – Present
Built a Python-based inventory management system integrated with an SQL database. Implemented CRUD operations using SQL queries for managing products, customers, and sales data. Designed relational database schema to ensure data integrity and efficient storage. Automated inventory stock updates based on sales transactions. Generated sales and inventory reports using SQL aggregation functions. Applied backend development concepts including database connectivity, query optimization, and data handling.
Programming in Python
Udemy
June 1, 2026 – Present
MYSQL
Udemy
June 1, 2026 – Present
Data Analysis with Python
IBM Skills Build
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects show an interest in practical problem-solving using data. Participation in extracurricular activities (Cultural Event Crowd Committee Head, Volleyball team) suggests an ability to collaborate and engage in team environments, which are positive indicators for cultural fit. However, without professional experience, the depth of cultural alignment is difficult to fully assess.
Soft Skills & Operational Fit
The candidate lists soft skills such as Time Management, Teamwork, Leadership, Problem-Solving, and Adaptability. These are valuable for operational fit, but their application and effectiveness in a professional setting are not demonstrated due to lack of work experience. The academic projects suggest an ability to work independently on defined tasks.