AINE AI INTERNSHIP

🛠️ Project Overview

During the internship, I worked on several projects that focused on:

• Data Manipulation: Techniques to clean, transform, and structure data for analysis.
• Data Visualization: Creating insightful visualizations to uncover patterns and trends within datasets.
• Data Exploration: Analyzing datasets to understand the underlying distributions and relationships.
• Machine Learning: Implementing basic machine learning models to predict outcomes based on data.

This experience allowed me to strengthen my skills in handling real-world data challenges and to apply analytical techniques effectively.

🚀 About the Internship

The Aine AI Internship provided a platform to apply theoretical knowledge in a practical setting, enhancing my understanding of data science principles and their applications in various scenarios.

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Sr No.	Project	Description	Objectives	Status
	INTERMEDIATE
1	Data Manipulation & Visualization Using Python	Creating Visuals & Charts Using Python Libraries.	Performing Data Manipulation and visualization techniques using Python to clean, transform and visualize different datasets.	☑
	BEGINNER
2	Essential of Python Programming	The project leverages the basic concept of Python programming such as variable data types, loops and conditional statements to develop the game of Rock, Paper and Scissors	Write a Python program to develop a Rock, Papers and Scissors game to be played against a computer.	☑
	INTERMEDIATE
3	Statistical Analysis & Hypothesis Testing	Increasing YoY revenue from game purchase by increasing retention rate gamers	What recommendations can you suggest increasing in-game purchase and retaining the players?	☑
4	Data Reporting and Analysis with T-SQL	Product sales performance analysis using T-SQL	Summarize the sales of Adventure Works Cycles with respect to product characteristics, promotion cost and customer demographics.	☑
	ADVANCED
5	Data Analytics & Visualization on Power BI	‘Dashboard in a Day’ is a Power BI training course designed by Microsoft	Performing market share analysis and competitor analysis for Vanarsdel (the company) to take data-informed business decisions.	☐
6	Machine Learning for Predictive Analysis	Reducing Monthly Churn by identifying high risk customers well in advance.	Build a classification Model to predict churners one month in advance.	☐
7	Image Classification Using Deep Learning	Classifying Covid-19 Positive and negative patient from X-ray images.	With the Chest X-ray dataset develop a Deep Learning Model to classify X-rays of Healthy Vs Corona Positive Patients	☐