Data Analyst with 1+ years in Data Analysis & Visualization
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Entry-level Data Analyst skilled in SQL, Excel, and Python for data analysis, data cleaning, and data preprocessing. Experienced in exploratory data analysis (EDA), data visualization (Power BI, Matplotlib, Seaborn), and statistical analysis to generate actionable insights. Proficient in Git/GitHub for version control, including branching, merging, and pull requests. Strong analytical thinking and problem-solving skills with the ability to work with large datasets
College of Engineering Perumon, Kollam
Electronics and Communication Engineering
November 1, 2021 – May 1, 2025
Luminar Technolab
Data science & Al Intern
July 1, 2025 – March 1, 2026
Cochin, Kerala, India
AI Interview Copilot
July 1, 2025 – March 1, 2026
Developed an AI-powered interview assistant using Python, Streamlit, and Ollama, automating resume analysis and answer evaluation. Implemented NLP pipelines for keyword extraction, scoring, and context-based answer matching. Integrated LLMs to generate dynamic interview questions and provide real-time performance feedback.
Launchmates
July 1, 2025 – March 1, 2026
Analyzed financial data using Python for budgeting and expense tracking. Performed data transformation and reporting for business insights. Built data-driven workflows for expense prediction, planning, and decision support.
Driver Monitoring System
July 1, 2025 – March 1, 2026
Analysed real-time video streams using Python, OpenCV, and MediaPipe to detect driver behaviour, distraction, and drowsiness. Performed preprocessing, ROI extraction, and feature engineering for activity classification and event logging. Generated structured logs, alerts, and performance reports to support safety insights.
Future Lifestyle Prediction using Behavioural Analytics
July 1, 2025 – March 1, 2026
Cleaned, transformed, and explored survey datasets using Python (Pandas) to identify lifestyle and behavioural trends. Created a Lifestyle Index using statistical scoring methods to evaluate users' health, financial, and digital habits. Designed interactive Power BI dashboards to visualize lifestyle clusters, trends, and risk indicators.
Bank Customer Churn Prediction
July 1, 2025 – March 1, 2026
Performed data cleaning, preprocessing, and EDA using Python (Pandas, NumPy) and SQL to identify customer churn patterns and key behavioural drivers. Analysed customer demographics, transaction history, and service usage using SQL and Excel, generating actionable insights for churn reduction strategies. Built and evaluated a Random Forest model using accuracy, precision, recall, and F1 -score to predict churn risk. Maintained project versions using Git/GitHub, enabling reproducible model training, tracking changes, and collaborative review.
Data Science & AI Training
Luminar Technolab
June 1, 2026 – Present
What is Data Science?
IBM | Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects cover a diverse range of applications, from customer churn prediction to AI interview copilots and driver monitoring systems, indicating a broad interest in data science and AI. This diversity, coupled with an internship experience, suggests an eagerness to learn and apply skills across different domains. The target role of Data Analyst aligns well with the candidate's demonstrated skills in data analysis, visualization, and basic machine learning, indicating a good cultural fit for a data-driven environment.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and communication skills, which are crucial for a Data Analyst role. Their experience with team collaboration and time management suggests a good operational fit for project-based work. The academic projects show initiative and adaptability in learning new tools and techniques.