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Data Analyst with 4+ years in data analysis, statistical modeling, and data visualization.
Results-driven Computer Science graduate with hands-on experience in data analysis, statistical modeling, and data visualization. Proficient in Python (Pandas, NumPy, Scikit-learn), SQL, and Tableau. Demonstrated ability to extract actionable insights from complex datasets, build predictive models, and communicate findings to stakeholders. Strong foundation in data wrangling, exploratory data analysis (EDA), and business intelligence tools. Eager to apply analytical skills to drive data-informed decisions at scale.
SMVCE College of Engineering
Bachelor of Engineering · Computer Science
August 1, 2023 – June 30, 2026
HKES Polytechnic College
Diploma · Computer Science
August 1, 2020 – June 30, 2023
ACO English Medium High School
High School
June 1, 2017 – May 31, 2019
Pyspiders
Data science with python Intern
January 1, 2026 – Present
India
Ayud Jobs
Full Stack & Data Development Intern
January 1, 2023 – Present
India
QR Code Security Threat Intelligence Dashboard
January 1, 2025 – December 31, 2025
Aggregated and analyzed 10,000+ scanned QR code events to classify threat levels using ML-based detection. Used OpenCV and TensorFlow to extract image metadata features; fed structured data into analysis pipeline. Built threat frequency analysis by source, time, and geography, surfacing patterns in malicious QR code distribution. Integrated Google Safe Browsing API data to enrich analysis with real-time URL threat scores.
Customer Churn Prediction & Analysis
January 1, 2025 – December 31, 2025
Analyzed a telecom dataset of 7,000+ customers to identify key churn drivers using EDA and statistical correlation analysis. Built a Logistic Regression and Random Forest model achieving 88% prediction accuracy with precision-recall optimization. Identified top 5 churn indicators (contract type, tenure, monthly charges) enabling targeted retention strategies. Visualized churn segments with Seaborn heatmaps and Matplotlib charts, presented findings to a mock stakeholder panel.
Retail Sales Performance Dashboard
January 1, 2025 – December 31, 2025
Collected and cleaned 50,000+ rows of retail transaction data, resolving 12% missing/inconsistent values via data imputation. Performed time-series analysis to uncover seasonal sales trends, contributing to a 15% improvement in inventory planning. Designed an interactive Tableau dashboard with KPIs: revenue, profit margin, top SKUs, and regional performance. Wrote optimized SQL queries reducing dashboard data load time by 35%.
COVID-19 Global Trend Analysis
January 1, 2024 – December 31, 2024
Processed and cleaned WHO/Johns Hopkins open datasets covering 190+ countries and 2 years of daily records. Conducted exploratory analysis revealing vaccination rate correlations with mortality reduction across 40 countries. Built interactive choropleth maps and trend charts using Plotly for dynamic country-level comparisons. Summarized findings in a structured report with statistical evidence, showcasing storytelling with data skills.
Student Academic Performance Analyzer
January 1, 2024 – December 31, 2024
Analyzed academic records of 1,200+ students to determine factors influencing CGPA outcomes. Applied K-Means clustering to segment students into 4 performance groups for targeted academic intervention. Identified attendance rate and assignment completion as the strongest predictors (r = 0.82) using correlation matrices. Delivered actionable insights report adopted by department faculty to redesign academic support programs.
Cyber Security
Ayud Jobs
June 1, 2026 – Present
Object-Oriented Programming (OOP)
Ayud Jobs
June 1, 2026 – Present
Diploma Internship Assessment
Ayud Jobs
June 1, 2026 – Present
Data science with python
Pyspiders
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from customer churn prediction to retail sales analysis and COVID-19 trend analysis, indicates a broad interest in applying data analysis across various domains. Their involvement in both full-stack and data science internships suggests adaptability and a willingness to learn different aspects of technology, which aligns well with a dynamic work environment. The listed interests in Business Intelligence, Predictive Analytics, and Machine Learning further support a strong cultural fit for a data-driven organization. However, all projects are academic, which might indicate less exposure to corporate cultural nuances and stakeholder management in a commercial setting.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through their project work, particularly in identifying churn drivers, sales trends, and academic performance factors. Their experience in collaborating in Agile sprints and presenting findings indicates good teamwork and communication potential. The projects also highlight an ability to translate complex data into actionable insights, which is crucial for a Data Analyst role. However, the candidate's experience is primarily academic and internship-based, suggesting a need for further development in real-world operational contexts and handling ambiguous business requirements.