Bhawna

• Utilized logical expressions for innovative app solutions. Skilled in analyzing system logs and error messages to identify trends and proactively address potential issues, contributing significantly to system stability and reliability.
• Provided technical support to users through various communication channels.
• Diagnosed and resolved application-related issues efficiently.
• Analyzed data from multiple sources to identify trends or patterns that could indicate potential problems.

Customer Trends Data Analysis- [Python | SQL | Power BI]:

• Clean and transform using Python the raw dataset for analysis.
• Organize the data using SQL into a structured format, simulate business transactions, and run queries to extract insights on customer segments, loyalty, and purchase drivers.
• Build an interactive dashboard using Power BI that highlights key patterns and trends, enabling stakeholders to make data-driven decisions.

T20 World Cup Cricket Data Analysis -[Python | Web scrapping | Pandas | Power BI]

• Created a Power BI report to identify the top 11 players for a T20 cricket team by scraping data from espncricinfo
  with a Brightdata website tool, cleaning and transforming the data with pandas, and evaluating various players' performance metrics.
• Used the resulting Power BI dashboard to select players for various categories (openers, middle order/anchors, finishers, all-rounders, specialist fast bowlers), and ultimately choose the top 11 players to play in the match.
• Selected team using the Power BI dashboard has 90% of chances to win the game.