Business Intelligence Analyst | Data Analyst | Telling stories with Data
Detailed-oriented analyst with 4+ years of experience optimizing analytical pipelines, cloud data integrations via Azure, and scalable BI dashboards across fintech, mobility, and real estate. Proficient in SQL, Excel, and Python for high volume analysis with a track record of driving an 18% increase in trading volume, boosting property occupancy by 38% and automating workflows to cut reporting time by 25%. I am comfortable working in a cross-functional team and aligning data workflow with operational decision-making.
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Credit Risk Classification using Machine Learning
Evaluated and compared predictive models, including Random Forest, Decision Tree, XGBoost, Support Vector Machine, LightGBM, and Logistic Regression, for credit risk prediction using metrics such as accuracy, precision, recall, F1-score, and ROC-AUC to identify the best-performing algorithm.
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Synthetic database generated using SQLite and Pandas (Python)
A synthentic database randomly generated using python and SQLite
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+447501979899
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