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Chooladeva
@chooladeva_lp
Data Analyst I SQL, Python, Power BI, Tableau I Predictive Analytics, Dashboards
Sri Lanka
Anglais
À propos de moi
I am a Data Analyst & AI Engineer with professional experience in building production ML systems—including real-time anomaly detection using clustering, association rules, and reinforcement learning. I hold a UK BSc in Data Science and MSc in Big Data Analytics.
I translate raw data into business impact: interactive Power BI/Tableau dashboards, predictive ML models (forecasting, churn, risk scoring), and executive reports. I've worked across sales, sentiment, and healthcare analytics, bridging advanced statistical modeling and real-world deployment to answer complex business questions.
Compétences
Chooladeva
hors ligne •
Voir mes services
Modélisation et analyse statistique
I will clean, analyze and visualize your data
Tableaux de bord des données
I will design executive power bi dashboards, advanced dax, and data reports
Portfolio
Expérience professionnelle
Data Science & AI Engineer
Scicom Lanka (Pvt.) Ltd. • Temps plein
May 2024 - Dec 2024 • 7 mos
Worked on an automated passenger risk-screening system for immigration data, taking raw records through data preparation, feature engineering, anomaly detection, and interpretable risk flagging. • Built an end-to-end data pipeline processing 64,000+ immigration records per flight, reducing reliance on manual risk-rule creation. • Prepared and analyzed passenger data to identify 18+ behavioral and document-related risk indicators, including travel frequency, visa validity, nationality mismatches, and booking patterns. • Analyzed passenger patterns to identify unusual travel activity and potential risks for further review. • Turned complex analytical results into clear, easy-to-understand risk flags that non-technical officers could use in their daily work. • Explored ways to improve the system by evaluating which risk indicators were most useful for passenger screening.
Data Science Intern
Data Glacier Academics & IT Consulting • Temps plein
Dec 2022 - Mar 2024 • 1 yr 3 mos
• Used Python (Pandas, Scikit-learn) to clean and analyze datasets, build predictive models, and deploy them into a working application. • Produced visual summaries of findings and presented results to stakeholders, focusing on making the analysis understandable to a non-technical audience. • Followed model governance and documentation practices across the project lifecycle, from data preparation through to deployment.
