
Results-driven Data Analyst skilled in data cleaning, analysis, and visualization. Proficient in SQL, Python, and R, with expertise in PowerBI, Tableau and Excel for creating impactful dashboards. Adept at ensuring data integrity, modeling datasets, and tracking KPIs. Proven ability to translate complex data into actionable insights and communicate effectively with stakeholders to support strategic decision-making.
Startup Success Analysis using Data Visualization | Python, Tableau
Analyzed factors impacting startup success, such as organizational structure, market timing, and funding, by cleaning and examining relevant datasets. Utilized Python and Tableau to create dynamic visualizations, highlighting key metrics like industry trends, company size, employment counts, and founder experience. Provided actionable insights to support strategic decision-making and identify critical success factors for startups.
Stock Market Analysis and Prediction | MongoDB, PySpark, Time Series Forecasting
Gathered and analyzed stock data from multiple companies over the past five years, focusing on daily net values and high stock prices. Employed PySpark for data processing and the Prophet model for time series forecasting to predict future stock trends. Delivered insights into stock behavior and potential investment opportunities based on historical patterns.