Akash Ingle

Basketball Performance Analysis

Tools Used: Power BI, PostgreSQL, Python

• Developed comprehensive dashboards to track player and team performance metrics.
• Collected and integrated data from multiple sources into PostgreSQL.
• Created interactive visualizations in Power BI to display points, assists, rebounds, and other key performance indicators (KPIs).
• Utilized Python for data cleaning, transformation, and statistical analysis to support decision-making.
  

Opponent Scouting and Matchup Analysis

Tools Used: Power BI, PostgreSQL, Python

• Conducted in-depth analysis of player matchups and opponent team strategies.
• Built a relational database in PostgreSQL to store detailed game and player data.
• Generated insights on player matchups and performance using Power BI dashboards.
• Employed Python for scripting and automation to preprocess and analyze large datasets efficiently.

Customer Churn(Retention) Analysis

Tools Used: Power BI, Python.

• Developed a customer churn analysis project using Python and Power BI, incorporating DAX functions to identify key factors influencing customer retention.
• Utilized Python for data cleaning, preprocessing, and implementing machine learning models to predict churn.
• Created interactive dashboards in Power BI to visualize churn patterns and trends, providing actionable insights for the marketing and customer service teams.
  

• Built a robust data pipeline to streamline data preparation tasks, ensuring smooth integration and processing of various data sources.
• Conducted thorough exploratory data analysis on service data, uncovering key patterns, trends and correlations.
• Derived actionable insights from the analysis to identify cost reduction opportunities in service operations.