c
chooladeva_lp

Chooladeva

@chooladeva_lp

Data Analyst I SQL, Python, Power BI, Tableau I Predictive Analytics, Dashboards

Sri Lanka
Inglês
Algumas informações são exibidas no idioma inglês.
Sobre mim
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.... Saiba mais

Habilidades

c
chooladeva_lp
Chooladeva
offline • 

Conheça meus serviços

Modelagem e Análise Estatística
I will clean, analyze and visualize your data
A partir deUS$ 10 /projetoMais detalhes
Painéis de dados
I will design executive power bi dashboards, advanced dax, and data reports
A partir deUS$ 10 /projetoMais detalhes

Portfólio

Experiência profissional

Data Science & AI Engineer

Scicom Lanka (Pvt.) Ltd. • Período integral

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 • Período integral

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.