Financial Data Analyst

Overview #

Worked as a Financial Data Analyst, applying statistical analysis and machine learning techniques to financial datasets to extract actionable insights and support data-driven investment decisions.

Key Responsibilities #

• Financial Data Analysis: Analyzed large-scale financial datasets to identify trends, patterns, and market behavior.
• Time Series Analysis: Processed and modeled time series data for forecasting and quantitative analysis.
• Statistical Modeling: Applied statistical methods to evaluate financial indicators and support investment research.
• Machine Learning: Developed and evaluated machine learning models for predictive analytics on financial data.
• Data Processing: Built efficient data preprocessing and feature engineering pipelines for structured financial datasets.
• Decision Support: Generated analytical reports and visualizations to assist investment strategy and business decision-making.

Technologies & Skills #

• Python
• Pandas
• NumPy
• Scikit-learn
• Time Series Analysis
• Statistical Modeling
• Data Visualization
• Financial Data Analysis