Data Science
Analyze Mobile App Data on various platforms and generate recommendations based on the analysis and various metrics available in the datasets using Python
Build a model to predict best-performing apps on Playstore and Apple app store for Portal Frame 

Varun Pawar
Co-founder, PortalFrame
About this Menternship

Portal Frame uses ML-powered solutions to help businesses transform their ROI. Their current mission is to help retailers find the best locations in 50+ Indian cities by triangulating about customers' work, home and socialisation spots. Portal Frame is working on the edge of an emerging tech industry - Data as a Service. The company brings to you a menternship that challenges you to identify the app categories that generate the most revenue on Google Play Store and Apple app store. 


Every month approximately 75000 apps are launched on the Play Store. Unsurprisingly, the biggest category is that of games. But, did you know that the second biggest app category is that of Education? There are many interesting insights to be unearthed by exploring the app data that measures performance of apps across categories. These insights can be utilized by technology startups to identify their niche and launch their product.


In this menternship, you will be identifying the attributes that can predict the success of a mobile application on Android and Apple app stores.



Why take up this Menternship?
On completing this Menternship, you will learn about
You will explore: 
Python Programming
Jupyter Notebook
Apps data from Google Play Store and Apple Store

You will apply:
Data wrangling, Data cleaning, Data Visualisation
Python Programming
Research and Intuition - Apps and Revenues

You will create:
A report on which app profiles are the most profitable in terms of revenue from Ads across both platforms (iOS and Android)



Expected Output
  1. Python code for Data Cleaning & Processing
  2. Python Code for EDA
  3. Presentation with the Summary of the Data and findings
  4. Complete Code Python Notebook
  5. Presentation with final reccommendation
  6. Video of Self
Analyze Mobile App Data on various platforms and generate recommendations based on the analysis and various metrics available in the datasets using Python
Build Real Skills through practical experience.
Each Menternship is rooted in MentorMind's experiential learning model that guides you on how to apply all theoretical learnings into real world practice at work.
Do Real Work that matches corporate expectations.
Every Menternship is specially designed on real work that is done in the field at the company. All work outputs you are guided to produce over the duration & different phases of a Menternship will match corporate expectations.
Showcase your Official Certification.
You get officially certified by our partner company on successfully completing a Menternship. Simply add it on your CV and your LinkedIn as a proof of your real skills & work experience to gain a headstart in opportunities that come your way!