Project: Market Analysis and Optimization for Mobile App Launch

Led a data-driven project centered around market analysis and optimization for the launch of a new mobile app on the Google Play Store.

Key Achievements

• Conducted exploratory data analysis, cleaned datasets, and applied statistical methods to uncover market insights.
• Implemented visualizations and analyses, including bar diagrams, pie charts, and pricing evaluations, to guide strategic decision-making.
• Authored a blog post documenting the project as a scientific experiment, outlining assumptions, experimental steps, and conclusions.
• Facilitated communication of findings during meetings with VP Marketing and VP Designer, ensuring effective cross-functional collaboration.

Project Overview

The project aimed to optimize the launch strategy for a new mobile app by leveraging data-driven insights and strategic analyses. Through exploratory data analysis and statistical methods, the team delved into market trends, pricing dynamics, and user preferences to inform key decisions.

Implemented Analyses

1. Exploratory Data Analysis (EDA):

   • In-depth exploration of datasets to uncover market insights.

2. Visualizations:

   • Implemented various visualizations, including bar diagrams, pie charts, and pricing evaluations.

Collaborative Approach

• Collaborated with cross-functional teams, including VP Marketing and VP Designer, to ensure alignment with strategic goals.
• Conducted meetings to effectively communicate findings and insights.

Technologies Used

• Python
• Data Analysis Libraries (Pandas, NumPy)
• Visualization Tools (Matplotlib, Seaborn)