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Data Analyst with less than a year in Python, SQL, and Power BI.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated B.Tech Computer Science graduate seeking an entry-level Data Analyst role, with experience collecting, analyzing, and interpreting complex data to derive actionable business intelligence. Proficient in Excel, SQL, and data visualization tools (Power BI), with a strong foundation in identifying trends and patterns, building reports and dashboards, and ensuring data accuracy and quality. Strong analytical and communication skills; ready to collaborate with cross-functional teams to drive smarter, data-driven decisions from day one.
LBS College of Engineering, Kasaragod, Kerala
B.Tech · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Customer Trends Data Analysis – Retail Business Insights
January 1, 2025 – June 1, 2026
Designed and executed a full-scale analytics pipeline to collect, analyze, and interpret complex retail data using Python and SQL, deriving meaningful, actionable insights for business decisions. Applied RFM segmentation with advanced SQL queries for customer behaviour analytics; built interactive Power BI dashboards to visualize KPIs, identify trends and growth opportunities, and report insights to stakeholders.
Credit Risk Assessment – Loan Default Prediction
January 1, 2025 – June 1, 2026
Built an end-to-end analytics pipeline: data collection, preprocessing, EDA, feature engineering, and model evaluation, achieving AUC of 0.89 with Logistic Regression and Random Forest while ensuring high standards of data accuracy. Applied confusion matrix, ROC curve analysis, and feature importance metrics to improve explainability of insights for non-technical stakeholders.
Relief Link – Disaster Management Web Platform
January 1, 2025 – June 1, 2026
Designed and deployed a secure full-stack application with REST API integration, role-based access control, and RDBMS schema design; integrated Blockchain (Ganache) for audit-ready transaction transparency and an AI-powered NLP chatbot for user support.
CareConnect – Online Doctor Appointment System
January 1, 2025 – June 1, 2026
Built a patient-centric scheduling platform with secure login, CRUD operations, and RDBMS schema design, automating workflows end-to-end and improving overall operational performance; shortlisted at District Level Startup Expo.
Advanced Certification in Data Science and AI
iHUB DivyaSampark (IIT Roorkee)
June 1, 2026 – Present
Prompt Engineering & Generative AI
Coursera
June 1, 2026 – Present
Crash Course on Python
Coursera
June 1, 2026 – Present
Cyber Security & Privacy
NPTEL
June 1, 2026 – Present
Git & GitHub Webinar
Unknown
June 1, 2026 – Present
IP Awareness Training
Unknown
June 1, 2026 – Present
CareConnect shortlisted - District Level Startup Expo
District Level Startup Expo
June 1, 2026 – Present
Certificate of Merit – ISTE GECT
ISTE GECT
June 1, 2026 – Present
Coordinated Dijili '24 & Flames '24
Unknown
January 1, 2024 – Present
Led DYUTHI '22 Awareness Mission
Unknown
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of technical interests beyond pure data analysis, including full-stack web development and blockchain integration. Participation in coordinating college events and leading awareness missions suggests a proactive and collaborative attitude. The target role of Data Analyst aligns well with the candidate's project experience and stated career objective, indicating a focused interest in the field. However, the lack of professional experience means cultural fit is primarily inferred from academic and extracurricular activities.
Soft Skills & Operational Fit
The candidate lists problem-solving, teamwork, communication, and adaptability as soft skills. Project descriptions indicate experience in automating workflows and improving operational performance, suggesting a practical, results-oriented approach. The academic background in Computer Science & Engineering provides a solid technical base for understanding data systems and algorithms.