Innovative Data Scientist with 5 years of experience in analytics and success in credit risk management, digitization and customer relationship management. Highly accomplished in influencing decision-makers and driving profitability across multiple divisions, including banking credit risk, debt collections, customer relationship management and digitization. Eager to bring expertise to growing organization in challenging new role. Knowledgeable [Desired Position] with strong foundation in data analysis, machine learning, and statistical modeling. Successfully developed predictive models and data-driven solutions to optimize business performance. Demonstrated proficiency in Python and SQL, leveraging data visualization tools to communicate insights effectively. Experienced with complex data analysis and advanced statistical techniques to uncover actionable insights. Utilizes machine learning models to solve real-world problems and enhance business outcomes. Knowledge of Python, R, and data visualization tools to communicate findings effectively. Professional data scientist with strong background in statistical analysis, machine learning, and data visualization. Skilled in Python, R, SQL, and various data processing tools, with focus on delivering actionable insights. Known for collaborative approach, adaptability, and consistently achieving impactful results in dynamic environments. Recognized for problem-solving abilities and innovative thinking in leveraging data to drive business decisions.
2 Years of experience as Financial Analyst
Prepared various reports about market condition.
Created and maintained complex financial models.
Consolidated and analyzed income statement forecasts and budgets.
Analyzed financial reports and entered information into house system.
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