Results-driven Data Scientist with expertise in data visualization, big data processing, and advanced analytics. Proficient in Python, R, SQL, Power BI, and machine learning/deep learning techniques. Strong background in predictive modelling, statistical analysis, financial forecasting, and budgeting. Skilled in stakeholder engagement, client management, and cross-functional collaboration. Adept at translating complex data into actionable insights to drive strategic decisions. Currently based in the EU under an EU Blue Card. Seeking to apply and expand skills in data analysis, problem-solving, and business intelligence to optimize organizational performance.
Investigated enhancing network traffic analysis for encrypted UAV Wi-Fi communication. Key objectives included identifying features for detecting abnormal activities, evaluating model effectiveness using metrics such as accuracy and false-positive rates, and conducting detailed performance analyses. Compared the performance of five machine learning models: XGBoost, AdaBoost, Logistic Regression, Feedforward Neural Network (FFN), and Recurrent Neural Network (RNN), focusing on metrics like accuracy, precision, recall, F1 score, and ROC-AUC.
2024-03 Certification in Google Analytics
2024-03 Foundations: Machine Learning
2024-02 Certification in Data Visualization: Tableau
2024-03 Certification in Power BI Data Modelling
2024-03 Certification in SEO
2024-03 Certification in B2B Marketing on LinkedIn
2024-04 Certification in Lean Six Sigma Green Belt