Md Saif

Analytical and insightful Data Analyst known for productivity and efficiency in task completion. Specialize in data visualization, statistical analysis, and predictive modeling. Excel in problem-solving, critical thinking, and communication, ensuring successful project outcomes and team collaboration.

• ⁠Sales Data Analysis
  • Description: Analyzed a large dataset of sales transactions to identify top-performing products, regions, and seasonal trends.
  • Skills Used: SQL for data extraction, Python for data cleaning (Pandas), and Matplotlib/Seaborn for visualization.
• Housing Price Prediction
  • Description: Predicted house prices based on historical data, including features like location, size, and amenities.
  • Skills Used: Python (Linear Regression, Scikit-learn), data cleaning with Pandas, and visualization with Seaborn.
  • Outcome: Achieved high accuracy in predicting house prices for different regions.

• ACM Student Member – Association for Computing Machinery
  • Actively participate in workshops, events, and hackathons organized by ACM.