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Data Science with less than a year in SQL, Python & Data Visualization
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Assessing your cultural and operational fit
Aspiring Data Analyst with strong skills in SQL, Python, Excel, and data visualization. Experienced in data cleaning, database management, dashboard creation, and extracting actionable insights from datasets. Built analytics-focused projects involving attendance trends, NLP-based classification, and reporting systems. Passionate about transforming data into business decisions.
R.V.R & J.C COLLEGE OF ENGINEERING
Bachelor of Technology · Engineering
August 1, 2021 – June 30, 2025
Credit Risk Prediction System
June 19, 2026 – Present
Developed an end-to-end machine learning solution to predict loan default risk using historical customer data. Performed data cleaning, feature engineering, and handled class imbalance to improve model performance. Deployed the trained model as a Django-based API to provide real-time credit risk predictions for financial decision support.
Attendance Management System with Analytics
June 19, 2026 – Present
Designed a digital attendance management system to record and manage attendance data efficiently. Implemented data storage, processing, and analytics to generate daily and monthly attendance insights. Integrated the system with a Django backend to provide structured data access and reporting.
Resume Screening System
June 19, 2026 – Present
Developed an NLP-driven resume screening platform that automatically classifies resumes into relevant job roles. Built a responsive frontend using React.js for resume upload and result visualization. Developed a Django backend to handle file uploads, preprocessing, and API communication. Integrated a machine learning model for text preprocessing, feature extraction, and resume classification. Enabled seamless interaction between frontend and backend using REST APIs, providing real-time resume screening and role prediction.
Cultural Fit Analysis
The candidate's involvement in 'MAKE A DIFFERENCE' and 'Cultivo' demonstrates a commitment to community engagement and extracurricular activities, suggesting a well-rounded individual. The project diversity, including credit risk prediction, attendance management, and resume screening, indicates an ability to apply data science skills across various domains. However, the projects are all academic, which limits the assessment of real-world, industry-specific cultural fit.
Soft Skills & Operational Fit
The candidate's extra-curricular activities as a Fellow and Coordinator suggest strong leadership, teamwork, and organizational skills. These experiences indicate a proactive attitude and ability to manage projects and coordinate with diverse groups, which are valuable for operational fit in a data science team.