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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.

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 ☐