A highly motivated data science graduate with specialized expertise in machine learning and data analysis. Proficient in converting theoretical knowledge into actionable insights and generating impactful results. Skilled in advanced data exploration, extensive data mining, precise statistical analysis, and dynamic data visualization. Demonstrates the ability to lead teams, resolve complex issues, and make strategic decisions in high-pressure environments. Possesses a strong analytical mindset and a commitment to continuous learning and innovation.
1.Credit Card Fraud Analysis:
PowerBi Reporting & Machine Learning
Developed and implemented machine learning models for credit card fraud detection , utilizing algorithms like Random Forest and XGBoost to identify fraudulent transactions. Leveraged Python (Pandas, Scikit-learn) for data preprocessing, feature engineering, and handling imbalanced datasets. Analyzed large transaction datasets to uncover patterns and reduce false positives. Visualized fraud detection results and key metrics using Power BI and Tableau for clear reporting to stakeholders.
2.House Price Predictions:
Developed and implemented machine learning models for house price prediction , using algorithms such as Linear Regression to analyze factors like location, size, and amenities. Utilized Python (Pandas, Scikit-learn) for data preprocessing, feature engineering, and model optimization. Conducted thorough analysis of housing datasets to identify trends, improving model accuracy and predictions. Visualized insights and results using tools like Matplotlib and Power BI for effective communication with stakeholders.