Results-driven Data Analyst with 1.5 years of experience in transforming complex datasets into actionable insights. Proficient in SQL, Python, and data visualization tools like MS Power BI. Adept at collaborating with cross-functional teams, communicating findings, and optimizing data workflows. Proficient in utilizing Big Data technologies, such as Hadoop and Spark, for data processing and analysis. Committed to delivering high-impact contributions for informed decision-making.
SQL
1.Stock Market Analysis and Real-Time Fluctuations:
Project Description : The aim of this project was to analyze historical sector-wise data and provide key insights through visualizations, enabling investors to make informed decisions while buying stocks. Additionally, the project involved real-time stock data fetched through the Yahoo Finance API, where investors received timely stock updates via notifications. Leveraged AWS services (S3, Lambda, EMR, CloudWatch) for data storage, scheduled updates, big data processing, and monitoring. Integrated Microsoft Power BI to create interactive dashboards, providing investors with actionable insights, timely notifications, and a holistic view of market trends, historical performance, and real-time fluctuations. Contributed to informed decision-making and enhanced investor engagement.
Key Technologies and Platforms:
Impact:
1. Historical Data Analysis: By examining sector-wise historical data, investors gained valuable insights into market trends, sector performance, and historical price movements. This information assisted them in making informed investment decisions.
2. Real-Time Fluctuation Notifications: Through real-time stock data updates and notifications, investors stayed up-to-date with the latest market movements and stock price fluctuations. This timely information enabled them to react quickly and make informed decisions.
3. Data Visualization and Insights: The visualizations and interactive dashboards created using Power BI provided a comprehensive view of the stock market and allowed investors to identify patterns, trends, and potential investment opportunities with ease.
2. Zomato Dataset Analysis for Bangalore Region :
Platform : Power BI
Developed a comprehensive Power BI dashboard for the Regional Manager of Zomato in Bangalore, providing in-depth analysis of the local restaurant industry. Conducted extensive research on online ordering and table booking trends, customer ratings, popular cuisines, and average costs for two people. The project aimed to deliver actionable insights to enable informed decision-making for optimizing the Zomato platform in Bangalore.