
Detail-oriented professional with solid skills in data
analysis and interpretation. Skilled in using statistical tools and software to find valuable insights from complex data. Strong problem-solver dedicated to using data to help with business decisions. Ready to use abilities in data visualization, pattern recognition, and predictive analysis to support strategic goals.
Data Science Pro Program, Fingertips
May 2023 - Dec 2023
Credit Card Financial Dashboard
- Developed an interactive dashboard using transaction and customer data from a SQL database, to provide real-time insights.
- Streamlined data processing & analysis to monitor key performance metrics and trends.
- Shared actionable insights with stakeholders based on dashboard findings to support decision-making processes.
SQL Blinkit Project
- Analyzed sales data from multiple Blinkit store outlets to uncover trends and patterns.
- Utilized SQL queries to extract and manipulate data, focusing on key metrics such as sales volume, revenue, and product performance.
- Identified insights regarding popular products, peak sales periods, and geographic trends across Blinkit stores.
- Generated reports and visualizations to communicate findings effectively to stakeholders.
- Provided actionable recommendations to optimize inventory management, pricing strategies, and overall business performance based on data analysis results.
Amazon Sale Report : Python
- Extracted and analyzed sales data from Amazon using Python programming language.
- Employed data manipulation and analysis libraries such as Pandas and NumPy to process large datasets efficiently.
- Identified trends, patterns, and correlations within the sales data to gain insights into customer behavior, product performance, and market trends.
- Created visualizations using Matplotlib or Seaborn to present key findings in an easily understandable format.